10 open-source tools for LLM applications development

5 free Machine Learning Courses Recommended by OpenAI Professionals

Unique list of open-source vector databases, libraries, and versatile platforms with vector functionality

Milvus, Qdrant, Faiss, Weaviate, and other databases to work with LLMs and other foundation models

AI Development in South Korea - 2023

An expert perspective that goes beyond conventional comparative analysis

Token 1.17: Deploying ML Model: Best practices feat. LLMs

Unless you are a researcher whose sole job is to beat benchmarks at some predefined dataset, you will want to deploy your model

FOD#37: Trust, but Verify

Questions about trustworthiness in LLMs and the key AI actors plus the best-curated list of research papers

10 companies for synthetic data generation

+ discover what synthetic data is and how to use it

Stability AI Chronicle: Why It Can Fail in 2024

Investigating the Thin Line Between Genuine Innovation and Strategic Exaggeration in AI

Token 1.16: Understanding RLHF and its use cases

Deep dive into a groundbreaking alignment technique with a lot of potential

FOD#36: Navigating the Global AI Landscape

recent AI developments across the globe, main news from AI leaders, and the best-curated list of research papers

Mistral AI's Bold Journey

From Paris to Global Stage: The Unconventional Rise of a French AI Unicorn and Its Open-Source Revolution

Token 1.15: What are Hallucinations: a Critical Challenge or an Opportunity?

We explore why hallucinations occur, strategies and methods for identifying them, and if they can be beneficial + a curated list of datasets, libraries, and tools