Guest Post: Optimizing Multi-agent Systems with Mistral Large, Mistral Nemo, and Llama-agents*

Agents can handle complex tasks with minimal human intervention. Learn how to build such agents with Mistral Large, Nemo, Llama agents, and Milvus.

FOD#65: Jevons' Paradox in AI

we discuss what the rapidly decreasing token cost of using LLMs means for AI companies, introduce some changes to Turing Post, and, as always, offer you the best-curated list of news and papers

10 Newest Ways for Efficient Processing of Long Context in LLMs

Topic 10: Inside DeepSeek Models

We discuss the innovation suggested by the DeepSeek team, how it improves the models' performance, and dive into the architectures and implementation of the models

FOD#64: Golden Age for Indie Devs and Engineers

How Cursor AI and LeRobot are Empowering a New Generation of Developers to Innovate and Compete.

15 Researches about Mamba Architecture

Explore Mamba implementations with open code

[Webinar] Cut storage and processing costs for vector embeddings

FOD#63: Open-Ended Exploration

or how we become AI-augmented PLUS the news from the usual suspects, and the hands-down best-curated list of last week's papers and models

11 Options for Image Generation

Topic 9: What is Speculative RAG

We explore the recent Speculative RAG idea, highlighting where it excels, and discuss the limitations of other RAG systems. At the end, you'll find a list of useful resources

Guest Post: How to Use Function Calling with Ollama, Llama3 and Milvus*

A step-by-step guide on how to integrate Llama 3.1 with external tools like Milvus vector database and APIs to build powerful, context-aware applications

FOD#62: DeepMind’s New Techniques Are Shaping the Future – Here’s How

Plus, a new rubric on AGI, Karpathy's take on RL, news from the usual suspects, and the hands-down best-curated list of last week's papers and models