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LangTalks

הכל על בניית אפליקציות עם מודלי שפה. הצטרפו לקהילת הווטסאפ שלנו: https://chat.whatsapp.com/I4T8Eo5f

Episodes

Total: 49

build trust with users and stakeholders - transparency and explainability, reliability and consisten

28 - Advanced agents

2024/5/25

examples and practices of advanced agents, and use of LangGraph for effective tool usage by agents

how to solve latency issues with minimal compromise on quality and cost

The 12 most common challenges around building an effective RAG pipeline and the best practices for s

25 - Reranking

2024/3/25

exploring the reranker component in the 2 stage retrieval system

24 - MVP best practices

2024/3/2

how to define effective requirements for llm apps, and first steps after going to production

What are transformers, why it is so expensive to train a Transformer-based model and what is the arc

22 - LangChain v0.1

2024/1/27

LCEL, LangGraph, LangSmith

Indexing knowledgebases with KG for RAG applications

ragas framework for evaluating unstructured retrievals and generations

19 - RAG

2023/12/11

Retrieval Augmented Generation process, Llama index vs LangChain, indexing

18 - OpenAI Dev Day

2023/11/20

OpenAI DevDay announcements recap

Evaluating LLMs and AI pipeline in dev and production environments. How to work with datasets

16 - Multi modal

2023/10/23

multimodality is a type of model that can analyze multiple data types like language, images, voice,

Find the most suitable project for volunteer support "Iron swords" war efforts

14 - Prompt engineering

2023/10/2

Advanced prompt engineering techniques: skeleton of thoughts, directional stimulus prompting, graph

Full stack LLM app development, Typescript vs Python

Finetuning techniques (SFT, RLHF...), pros & cons, tools (technical episode)

why should you care about open source models, when and how to finetune, inference best practices, de

Drill down on a summarization task use case