Hello, everyone!
DeepPavlov.ai team wants to wish you a great celebration of the New Year and Christmas. Enjoy these holidays together with your loved ones, and don’t forget about your dreams in the Conversational AI space!
We’ll continue to please you with new developments, posts and articles in 2023!
P.S. We generated this Christmas card with the help of AI!
DeepPavlov.ai team wants to wish you a great celebration of the New Year and Christmas. Enjoy these holidays together with your loved ones, and don’t forget about your dreams in the Conversational AI space!
We’ll continue to please you with new developments, posts and articles in 2023!
P.S. We generated this Christmas card with the help of AI!
Hello everyone!
We are back from holidays with some fantastic news! The very new 1.0.2 release of DeepPavlov Library has just come out.
We were excited to deliver v1.0.0 of the DeepPavlov Library, with full migration to PyTorch and python 3.8, 3.9 support.
Now get ready for v1.0.2!
In the updated version we’ve added support to use our Python pipelines, a native mechanism to build pipelines on top of the models in the library, together with an example showcasing the use of python inference pipelines. We also made model requirements installation more comfortable, and delivered several bug fixes and improvements.
Be the first to try the new version. Don’t hesitate to share your feedback with us!
We are back from holidays with some fantastic news! The very new 1.0.2 release of DeepPavlov Library has just come out.
We were excited to deliver v1.0.0 of the DeepPavlov Library, with full migration to PyTorch and python 3.8, 3.9 support.
Now get ready for v1.0.2!
In the updated version we’ve added support to use our Python pipelines, a native mechanism to build pipelines on top of the models in the library, together with an example showcasing the use of python inference pipelines. We also made model requirements installation more comfortable, and delivered several bug fixes and improvements.
Be the first to try the new version. Don’t hesitate to share your feedback with us!
Hi, friends!
Welcome to #ConvAInews!
◾️We just launched v1.0.2 of DeepPavlov Library. This update supports using native Python pipelines and features a built-in mechanism for creating pipelines on top of the Library models. We added an example of Python inference pipelines, too. Plus, installing model requirements is now easy-to-use, and we’ve fixed bugs and made improvements. Get the updated version here.
◾️ SymbolicAI is a framework that can implant human thoughts, reasoning, and behavior into a computer program. It combines the strengths of Symbolic AI and Large Language Models.
◾️ Microsoft Invested $10 Billion in ChatGPT Maker OpenAI. OpenAI intends to give Microsoft access to some of the most popular and advanced artificial intelligence systems.
◾️ Apple introduced a new version of its HomePod smart speaker. This second generation HomePod is a match in size of its predecessor, but with upgraded hardware and sensors. Siri, its built-in voice assistant, can identify the sound of smoke and carbon monoxide alarms, sending a phone alert about it.
◾️ Microsoft has introduced VALL-E, a novel language model method for text-to-speech synthesis (TTS). It can employ audio codec codes as intermediate representations and can replicate anyone's voice after listening to just three seconds of audio recording.
Unleash your creativity and bring AI to your projects!
Welcome to #ConvAInews!
◾️We just launched v1.0.2 of DeepPavlov Library. This update supports using native Python pipelines and features a built-in mechanism for creating pipelines on top of the Library models. We added an example of Python inference pipelines, too. Plus, installing model requirements is now easy-to-use, and we’ve fixed bugs and made improvements. Get the updated version here.
◾️ SymbolicAI is a framework that can implant human thoughts, reasoning, and behavior into a computer program. It combines the strengths of Symbolic AI and Large Language Models.
◾️ Microsoft Invested $10 Billion in ChatGPT Maker OpenAI. OpenAI intends to give Microsoft access to some of the most popular and advanced artificial intelligence systems.
◾️ Apple introduced a new version of its HomePod smart speaker. This second generation HomePod is a match in size of its predecessor, but with upgraded hardware and sensors. Siri, its built-in voice assistant, can identify the sound of smoke and carbon monoxide alarms, sending a phone alert about it.
◾️ Microsoft has introduced VALL-E, a novel language model method for text-to-speech synthesis (TTS). It can employ audio codec codes as intermediate representations and can replicate anyone's voice after listening to just three seconds of audio recording.
Unleash your creativity and bring AI to your projects!
Dear DeepPavlov Community!
We will be holding a live DFF demo on February 27th at 9am (PST). Join us and enhance your chatbot development skills with DFF.
For those of you who are not aware, this is perfect for AI Developers, Data Scientists, and Software Developers seeking to integrate advanced ML/DL NLP models with intuitive scripting dialog systems.
Discover Dialog Flow Framework (DFF), the cutting-edge open-source technology that streamlines the creation of flexible dialog graphs using a powerful combination of Python-native DSL and DL models. Brought to life by the DeepPavlov team during the Amazon Alexa Prize Socialbot Grand Challenge 4.
During the demo, you will learn:
▪️The ins and outs of DFF's functionality
▪️How to build a simple FAQ system and live chat support with goal-oriented services (using ChatGPT type models)
▪️The latest updates, including an asynchronous processing pipeline and a more user-friendly interface, based on your feedback.
Sign up now and receive a link to the demo
We will be holding a live DFF demo on February 27th at 9am (PST). Join us and enhance your chatbot development skills with DFF.
For those of you who are not aware, this is perfect for AI Developers, Data Scientists, and Software Developers seeking to integrate advanced ML/DL NLP models with intuitive scripting dialog systems.
Discover Dialog Flow Framework (DFF), the cutting-edge open-source technology that streamlines the creation of flexible dialog graphs using a powerful combination of Python-native DSL and DL models. Brought to life by the DeepPavlov team during the Amazon Alexa Prize Socialbot Grand Challenge 4.
During the demo, you will learn:
▪️The ins and outs of DFF's functionality
▪️How to build a simple FAQ system and live chat support with goal-oriented services (using ChatGPT type models)
▪️The latest updates, including an asynchronous processing pipeline and a more user-friendly interface, based on your feedback.
Sign up now and receive a link to the demo
Hi, friends!
Welcome to Conversational AI News! If you are looking forward to hear about the latest developments in AI research and technology, we've got you covered.
◾️ Discover the art of crafting Generative AI Assistants with the aid of DeepPavlov Dream open-source multiskill AI Assistant platform. Our most recent version allows for the integration of open-source Generative AI Models such as GPT-J and BLOOM within your DeepPavlov Dream-based AI assistants. Our latest article, "Building Generative AI Assistants with DeepPavlov Dream," presents a comprehensive guide to building your very own Generative AI Assistants. Take the first step towards developing cutting-edge conversational AI by following our instructions.
◾️Explore the intricacies of building a custom chatbot with DeepPavlov Dream in our latest article. This piece delves into the nuanced decision of selecting the ideal LLM (language model) to suit your project's needs. We evaluate and compare the performance of eight distinct large language models, each with varying sizes and architectures, in response to three unique natural language prompts designed to evaluate their abilities as a dialog system. Unveil the key insights and gain a deeper understanding of the best practices in language model selection for your next AI project.
◾️ Join the live demo of Dialog Flow Framework (DFF) on Feb, 27th at 9 am (PST) to streamline your chatbot development with cutting-edge open-source technology. DFF combines Python-native DSL and DL models to create flexible dialog graphs. Discover the ins and outs of DFF's functionality, learn how to build a simple FAQ system and live chat support, and hear about the latest updates and features, including an asynchronous processing pipeline and a more user-friendly interface.
◾️ Microsoft AI Research is breaking new ground with their proposed eXtensible Prompt (X-Prompt) technology which takes large language models beyond natural language. Now, these models can discover correlations and patterns in text that were previously impossible. It's a fascinating breakthrough that's sure to have major implications for the field of AI.
◾️ The Mycroft Mark II is a privacy-focused open-source device designed as an alternative to smart speakers and displays. The developers launched a crowdfunding campaign for it, but had to end it due to the lack of funds, leaving thousands of backers without devices. Mycroft CEO Michael Lewis confirmed the company could not continue to manufacture and distribute Mark II units to its backers.
◾️ Microsoft has launched an updated AI-powered Bing search engine and Edge browser designed to handle complex search queries. The new features include interactive chat experiences, detailed summarized answers, and complete results. The goal is to solve the problem of half of the 10 billion daily search queries going unanswered.
That's all for now. Stay tuned for more exciting news and developments in the world of Conversational AI!
Welcome to Conversational AI News! If you are looking forward to hear about the latest developments in AI research and technology, we've got you covered.
◾️ Discover the art of crafting Generative AI Assistants with the aid of DeepPavlov Dream open-source multiskill AI Assistant platform. Our most recent version allows for the integration of open-source Generative AI Models such as GPT-J and BLOOM within your DeepPavlov Dream-based AI assistants. Our latest article, "Building Generative AI Assistants with DeepPavlov Dream," presents a comprehensive guide to building your very own Generative AI Assistants. Take the first step towards developing cutting-edge conversational AI by following our instructions.
◾️Explore the intricacies of building a custom chatbot with DeepPavlov Dream in our latest article. This piece delves into the nuanced decision of selecting the ideal LLM (language model) to suit your project's needs. We evaluate and compare the performance of eight distinct large language models, each with varying sizes and architectures, in response to three unique natural language prompts designed to evaluate their abilities as a dialog system. Unveil the key insights and gain a deeper understanding of the best practices in language model selection for your next AI project.
◾️ Join the live demo of Dialog Flow Framework (DFF) on Feb, 27th at 9 am (PST) to streamline your chatbot development with cutting-edge open-source technology. DFF combines Python-native DSL and DL models to create flexible dialog graphs. Discover the ins and outs of DFF's functionality, learn how to build a simple FAQ system and live chat support, and hear about the latest updates and features, including an asynchronous processing pipeline and a more user-friendly interface.
◾️ Microsoft AI Research is breaking new ground with their proposed eXtensible Prompt (X-Prompt) technology which takes large language models beyond natural language. Now, these models can discover correlations and patterns in text that were previously impossible. It's a fascinating breakthrough that's sure to have major implications for the field of AI.
◾️ The Mycroft Mark II is a privacy-focused open-source device designed as an alternative to smart speakers and displays. The developers launched a crowdfunding campaign for it, but had to end it due to the lack of funds, leaving thousands of backers without devices. Mycroft CEO Michael Lewis confirmed the company could not continue to manufacture and distribute Mark II units to its backers.
◾️ Microsoft has launched an updated AI-powered Bing search engine and Edge browser designed to handle complex search queries. The new features include interactive chat experiences, detailed summarized answers, and complete results. The goal is to solve the problem of half of the 10 billion daily search queries going unanswered.
That's all for now. Stay tuned for more exciting news and developments in the world of Conversational AI!
Hello, everyone!
Recently we published an article "Knowledge-Grounded Response Generation in the DREAM Socialbot". We explored the integration of knowledge bases into socialbot conversations to improve user engagement and conversation quality.
In this article you’ll find out how to use a pre-trained neural conversational model to generate relevant utterances that contain new information from given knowledge facts. It helps to evolve the discussion and encourage the user to continue the dialogue with the chatbot.
Check out the full article, and don't hesitate to contact us if you have any questions or comments!
Recently we published an article "Knowledge-Grounded Response Generation in the DREAM Socialbot". We explored the integration of knowledge bases into socialbot conversations to improve user engagement and conversation quality.
In this article you’ll find out how to use a pre-trained neural conversational model to generate relevant utterances that contain new information from given knowledge facts. It helps to evolve the discussion and encourage the user to continue the dialogue with the chatbot.
Check out the full article, and don't hesitate to contact us if you have any questions or comments!
Hello, everyone!
Exciting news: Mikhail Burtsev, the Head of DeepPavlov.ai, and Daniel Kornev, CPO of DeepPavlov.ai, will be speaking at OpenTalks.AI tomorrow! OpenTalks.AI is a leading independent Open conference on Artificial intelligence.
Mikhail will be reviewing the main results in Natural Language Processing for 2022, discussing achievements and trends.
Meanwhile, Daniel will be sharing his insights on redesigning DeepPavlov Dream around Large Language Models. He'll also give tips on how to build your own Generative AI Assistants with DeepPavlov Dream.
Please join us and learn more about simple and complex chatbots’ development with DeepPavlov.ai.
For more details, click on the link below:
https://opentalks.ai/en/timetable2023#!/tab/540721099-3
Exciting news: Mikhail Burtsev, the Head of DeepPavlov.ai, and Daniel Kornev, CPO of DeepPavlov.ai, will be speaking at OpenTalks.AI tomorrow! OpenTalks.AI is a leading independent Open conference on Artificial intelligence.
Mikhail will be reviewing the main results in Natural Language Processing for 2022, discussing achievements and trends.
Meanwhile, Daniel will be sharing his insights on redesigning DeepPavlov Dream around Large Language Models. He'll also give tips on how to build your own Generative AI Assistants with DeepPavlov Dream.
Please join us and learn more about simple and complex chatbots’ development with DeepPavlov.ai.
For more details, click on the link below:
https://opentalks.ai/en/timetable2023#!/tab/540721099-3
opentalks.ai
OpenTalks.AI - Timetable 2023
CV-Multimodality Engineer at DeepPavlov.ai
At DeepPavlov.ai, our mission is to simplify the development process for chatbots, dialog systems, and Multiskill assistants worldwide. We've already created multimodal Open Source dialog systems that can speak, write, see, and understand their surroundings.
We are looking for an experienced CV engineer to join our team and work primarily with computer vision models in multimodal text-audio-vision models. The primary goal of this role is to integrate the vision modality into both virtual and embodied dialog agents.
If you have 2+ years of experience with CV models, proficiency in tools such as docker, bash, git, and pytorch, and a talent for writing clean and efficient code, we believe you might be a perfect candidate.
Find out more about CV-Multimodality Engineer here:
https://deeppavlov.ai/careers/tpost/82g6ab53k1-cv-multimodality-engineer
#jobs
At DeepPavlov.ai, our mission is to simplify the development process for chatbots, dialog systems, and Multiskill assistants worldwide. We've already created multimodal Open Source dialog systems that can speak, write, see, and understand their surroundings.
We are looking for an experienced CV engineer to join our team and work primarily with computer vision models in multimodal text-audio-vision models. The primary goal of this role is to integrate the vision modality into both virtual and embodied dialog agents.
If you have 2+ years of experience with CV models, proficiency in tools such as docker, bash, git, and pytorch, and a talent for writing clean and efficient code, we believe you might be a perfect candidate.
Find out more about CV-Multimodality Engineer here:
https://deeppavlov.ai/careers/tpost/82g6ab53k1-cv-multimodality-engineer
#jobs
Hello everyone,
Here is our newsletter with the top industry events and the most up-to-date developments in the conversational AI area.
◾️ DeepPavlov team has explored the integration of knowledge bases into socialbot conversations to improve user engagement and conversation quality. We published an article "Knowledge-Grounded Response Generation in the DREAM Socialbot". Read the full text at the following link and don't hesitate to contact us if you have any questions or comments!
◾️ Microsoft has announced an exciting new Power Platform that allows end users to seamlessly incorporate AI into their workflows to boost productivity. The automation platform comes equipped with next-generation AI features for Power Virtual Agents and AI Builder.
◾️ The continuous boom in conversational AI and LLMs forces companies to rethink and present AI assistants again, including companies that had previously put on hold or shut down development of AI assistants. Salesforce has brought Einstein back to life with generative AI provided by OpenAI. The new Einstein GPT employs large language models and its own databases to compose and edit emails to customers, draft digital advertisements, and generate computer code for developers.
◾️ Grammarly has announced GrammarlyGO, a collection of generative AI writing and editing tools that serve as a productivity aid for communication. This expands on the spelling, grammar, and style guidance already offered by the company's apps and plug-ins.
That's all for today. Stay tuned for more exciting news and developments in the world of Conversational AI!
Here is our newsletter with the top industry events and the most up-to-date developments in the conversational AI area.
◾️ DeepPavlov team has explored the integration of knowledge bases into socialbot conversations to improve user engagement and conversation quality. We published an article "Knowledge-Grounded Response Generation in the DREAM Socialbot". Read the full text at the following link and don't hesitate to contact us if you have any questions or comments!
◾️ Microsoft has announced an exciting new Power Platform that allows end users to seamlessly incorporate AI into their workflows to boost productivity. The automation platform comes equipped with next-generation AI features for Power Virtual Agents and AI Builder.
◾️ The continuous boom in conversational AI and LLMs forces companies to rethink and present AI assistants again, including companies that had previously put on hold or shut down development of AI assistants. Salesforce has brought Einstein back to life with generative AI provided by OpenAI. The new Einstein GPT employs large language models and its own databases to compose and edit emails to customers, draft digital advertisements, and generate computer code for developers.
◾️ Grammarly has announced GrammarlyGO, a collection of generative AI writing and editing tools that serve as a productivity aid for communication. This expands on the spelling, grammar, and style guidance already offered by the company's apps and plug-ins.
That's all for today. Stay tuned for more exciting news and developments in the world of Conversational AI!
Ever wondered how #ChatGPT stacks up against traditional #NLP models? 🤔 The results might surprise you! 🚀 Dive into this insightful analysis to discover the strengths and weaknesses of ChatGPT on Q&A tasks. Will it outshine the rest? 🌟
#NLProc #ai
Find out all the details 👉🏻 https://artificialcorner.com/how-good-is-chatgpt-on-qa-tasks-953a10236ec7?source=friends_link&sk=2afb1ccb4717935d2b15efccd4f98057
#NLProc #ai
Find out all the details 👉🏻 https://artificialcorner.com/how-good-is-chatgpt-on-qa-tasks-953a10236ec7?source=friends_link&sk=2afb1ccb4717935d2b15efccd4f98057
Medium
How good is ChatGPT on QA tasks?
A hands-on comparison using ChatGPT and fine-tuned encoder-based models on QA tasks.
📣 Calling all #ACL2023 attendees! 🚀 Don't miss our System Demo on the open-source DeepPavlov Dream, designed for building complex, generative AI Assistants. 🤖💬
📌 10 July @ 14:00 Demo Session 2 @ Frontenac Ballroom, Queens Quay&Bay
#AI #NLP #DeepPavlov #GenerativeAI
📌 10 July @ 14:00 Demo Session 2 @ Frontenac Ballroom, Queens Quay&Bay
#AI #NLP #DeepPavlov #GenerativeAI
TIME FOR TUTORIALS ON DREAM 📣
Learn how to create a simple and light-weight 🤖 that specializes in discussing movies and answering factoid questions, utilizing the existing Dream components.
#AI #NLP #DeepPavlov #GenerativeAI
https://lnkd.in/eMy5xWzZ
Learn how to create a simple and light-weight 🤖 that specializes in discussing movies and answering factoid questions, utilizing the existing Dream components.
#AI #NLP #DeepPavlov #GenerativeAI
https://lnkd.in/eMy5xWzZ
Medium
Creating Assistants with DeepPavlov Dream. Part 1: Distribution from Existing Components
Introduction
📣 TIME FOR NEXT TUTORIAL ON DREAM!
Discover how to create a generative bot 🤖 with a predefined persona, using the existing Dream ☁️ Persona distribution that utilizes OpenAI ChatGPT.
#AI #NLP #DeepPavlov #GenerativeAI
https://lnkd.in/eKgdAa3s
Discover how to create a generative bot 🤖 with a predefined persona, using the existing Dream ☁️ Persona distribution that utilizes OpenAI ChatGPT.
#AI #NLP #DeepPavlov #GenerativeAI
https://lnkd.in/eKgdAa3s
Medium
Creating Assistants with DeepPavlov Dream. Part 2: Customizing Prompt-based Distribution
Introduction
Hello everyone,
We are back with some fantastic news: a brand new demo of DeepPavlov Library just came out, featuring a lot of new, much needed multilingual models. Be the first to try it out and don’t hesitate to share your feedback with us!
As you probably know, the NLP field is highly dynamic, and with the current pace of change we’d like to hear from you to learn how else we could help you solve your everyday natural language processing tasks; if you’re up for it, we’d highly appreciate your filling out a short survey!
We are back with some fantastic news: a brand new demo of DeepPavlov Library just came out, featuring a lot of new, much needed multilingual models. Be the first to try it out and don’t hesitate to share your feedback with us!
As you probably know, the NLP field is highly dynamic, and with the current pace of change we’d like to hear from you to learn how else we could help you solve your everyday natural language processing tasks; if you’re up for it, we’d highly appreciate your filling out a short survey!
Google Docs
Help us to make DeepPavlov Library better!
This form is anonymous. However, if you would like to stay in touch with the DeepPavlov Library team please provide us with your contact details (in the last question). Thank you!
📣 TIME FOR NEXT TUTORIAL ON DREAM!
Create a distribution with reasoning and API calls performing utilizing OpenAI ChatGPT to think of actions required to handle user requests and to choose the suitable API to use.
#AI #NLP #DeepPavlov #GenerativeAI
https://clck.ru/35AVb2
Create a distribution with reasoning and API calls performing utilizing OpenAI ChatGPT to think of actions required to handle user requests and to choose the suitable API to use.
#AI #NLP #DeepPavlov #GenerativeAI
https://clck.ru/35AVb2
Medium
Creating Assistants with DeepPavlov Dream. Part 3. Task-Performing Distribution with Reasoning and API Integration
Welcome to our third tutorial, where we will walk you through the process of building your own personal assistant using DeepPavlov Dream…
Hello everyone!
We are excited to announce the #release of DeepPavlov 1.3.0 🎅. Here is a sneak peak of what's included in the new release:
◾️ A few-shot text classification model that allows you to operate with a small amount of training data and supports OOS examples.
◾️ A refactored ODQA model optimized to consume less RAM during training.
◾️ A long-anticipated syntax parser and morphotagger.
As a reminder, you can check our multilingual models at the DeepPavlov Demo page. Be the first to try out the DeepPavlov 1.3.0 release and don’t hesitate to share your feedback with us!
We are excited to announce the #release of DeepPavlov 1.3.0 🎅. Here is a sneak peak of what's included in the new release:
◾️ A few-shot text classification model that allows you to operate with a small amount of training data and supports OOS examples.
◾️ A refactored ODQA model optimized to consume less RAM during training.
◾️ A long-anticipated syntax parser and morphotagger.
As a reminder, you can check our multilingual models at the DeepPavlov Demo page. Be the first to try out the DeepPavlov 1.3.0 release and don’t hesitate to share your feedback with us!
Hello everyone!
We are excited to announce our new article about multi-task models in DeepPavlov. These models allow combining many tasks into one backbone while retaining or even increasing the model quality.
Check out the full article, and don’t hesitate to contact us if you have any questions or comments!
#AI #NLP #DeepPavlov
We are excited to announce our new article about multi-task models in DeepPavlov. These models allow combining many tasks into one backbone while retaining or even increasing the model quality.
Check out the full article, and don’t hesitate to contact us if you have any questions or comments!
#AI #NLP #DeepPavlov
deeppavlov.ai
Multi-task NLP models in DeepPavlov
The multi-task machine learning model is a model that can simultaneously handle and perform multiple distinct tasks
Hello everyone!
Recently we published an article “Memory enhances ChatGPT performance in multi-hop QA”. The article discusses the approach for ChatGPT memory augmentation and compares it to the task-tuned language model on multi-hop QA tasks.
Check out the full article, and don’t hesitate to contact us if you have any questions or comments!
#AI #NLP #DeepPavlov #ChatGPT #MHQA
Recently we published an article “Memory enhances ChatGPT performance in multi-hop QA”. The article discusses the approach for ChatGPT memory augmentation and compares it to the task-tuned language model on multi-hop QA tasks.
Check out the full article, and don’t hesitate to contact us if you have any questions or comments!
#AI #NLP #DeepPavlov #ChatGPT #MHQA
deeppavlov.ai
Memory enhances ChatGPT performance in multi-hop QA
An assessment of ChatGPT performance on MHQA tasks with memory augmentation compared to a task-tuned language model.
Научные хакатоны возвращаются вместе с DeepHack!
📌 В рамках хакатона DeepHack.Agents 🤖 вам предстоит создать своего ИИ-ассистента для научных исследований с помощью фреймворка GigaChain
Дата: 24-28 апреля
Формат: гибридный
В последний день хакатона у вас будет возможность пообщаться с экспертами вживую и собраться вместе с другими участниками! 🔥
Регистрироваться можно как готовой командой, так и собрать её на хакатоне.
❗Успейте подать заявку до 22 апреля по ссылке
📌 В рамках хакатона DeepHack.Agents 🤖 вам предстоит создать своего ИИ-ассистента для научных исследований с помощью фреймворка GigaChain
Дата: 24-28 апреля
Формат: гибридный
В последний день хакатона у вас будет возможность пообщаться с экспертами вживую и собраться вместе с другими участниками! 🔥
Регистрироваться можно как готовой командой, так и собрать её на хакатоне.
❗Успейте подать заявку до 22 апреля по ссылке
В эти выходные встречаемся на Data Fest 2024 🚀
Ждем вас в воскресенье в зале «Мулен Руж» 🔥 Мария Молчанова, исследователь DeepPavlov, расскажет про разметку данных с помощью экспертов, краудсорсеров и больших языковых моделей🤖
🔹рассмотрим три подхода к организации разметки данных на примере задачи разметки диалогов на сложные лингвистические классы
🔹поделимся методами и инструментами для упрощения процесса разметки, чтобы сделать его доступным для исполнителей без специализированных знаний
🔹расскажем про способы автоматизации разметки с помощью больших языковых моделей.
❗️Дата: 2 июня в 17.30
Регистрация и нетворкинг 👉 https://ods.ai/events/fest2024-yandex-msc
Ждем вас в воскресенье в зале «Мулен Руж» 🔥 Мария Молчанова, исследователь DeepPavlov, расскажет про разметку данных с помощью экспертов, краудсорсеров и больших языковых моделей🤖
🔹рассмотрим три подхода к организации разметки данных на примере задачи разметки диалогов на сложные лингвистические классы
🔹поделимся методами и инструментами для упрощения процесса разметки, чтобы сделать его доступным для исполнителей без специализированных знаний
🔹расскажем про способы автоматизации разметки с помощью больших языковых моделей.
❗️Дата: 2 июня в 17.30
Регистрация и нетворкинг 👉 https://ods.ai/events/fest2024-yandex-msc