LangTalks

エピソード

• 2 - How LLMs are developed 19.07.2023 18分

  The evolution of Language Models and OpenAI's training techniques.
• 3 - Intro to Agents 20.07.2023 30分

  Theory and benchmarks for zero shot, few shot, chain of thoughts, and tree of thoughts
• 4 - Intro to LangChain 25.07.2023 25分

  Overviewing the main concepts of LangChain framework and how to get started
• 5 - How to use Embeddings 01.08.2023 21分

  Explore the theory of embeddings and their practical applications
• 1 - Intro to LangTalks 18.07.2023 1分

  Introduction about Lee & Gal and what LangTalks is about
• 6 - Security and Privacy | Itamar Golan (Prompt Security) 07.08.2023 36分

  Security, privacy, compliance & safety of LLM-based applications
• 7 - Agents in LangChain | Eden Marco 14.08.2023 28分

  From an agent POC with LangChain to production challenges
• 8 - Vector Databases | Uri Goren (Argmax) 21.08.2023 30分

  Why you might need a VectorDB, which features to consider when choosing a provider, and use cases examples
• 9 - Popular tools for LLM-app devs 28.08.2023 30分

  Save time building applications with LLMs by utilizing tools like LangChain, Llama index, Guidance, GPTCache and many more
• 10 - Summarizing mental health sessions | Amit Spinrad (Eleos Health) 04.09.2023 29分

  Drill down on a summarization task use case
• 11 - Open source models | Matan Kleyman 11.09.2023 33分

  why should you care about open source models, when and how to finetune, inference best practices, deployment & serving tools, models overview
• 12 - Fine-tuning | Mike Erlihson 18.09.2023 27分

  Finetuning techniques (SFT, RLHF...), pros & cons, tools (technical episode)
• 13 - Production environment | Idan Tovi (Vee) 26.09.2023 24分

  Full stack LLM app development, Typescript vs Python
• 14 - Prompt engineering 02.10.2023 27分

  Advanced prompt engineering techniques: skeleton of thoughts, directional stimulus prompting, graph of thoughts, augmentations
• 15 - Initiatives and volunteers matching 18.10.2023 17分

  Find the most suitable project for volunteer support "Iron swords" war efforts
• 16 - Multi modal 23.10.2023 25分

  multimodality is a type of model that can analyze multiple data types like language, images, voice, etc.
• 17 - Evaluation | Philip Tannor (DeepChecks) 13.11.2023 29分

  Evaluating LLMs and AI pipeline in dev and production environments. How to work with datasets
• 18 - OpenAI Dev Day 20.11.2023 28分

  OpenAI DevDay announcements recap
• 19 - RAG 11.12.2023 26分

  Retrieval Augmented Generation process, Llama index vs LangChain, indexing
• 20 - RAG Evaluation | Jonathan Yarkoni 25.12.2023 25分

  ragas framework for evaluating unstructured retrievals and generations