The Massachusetts Institute of Technology has a class called ’The missing semester of your computer science education’ It is a collection of things that most developers and data scientists typically teach themselves on the job.
Wow 😲 , Lyft just open sourced its autonomous driving dataset from its Level 5 self-driving fleet!
Kyutai Labs Releases Helium-1 Preview: A Lightweight Language Model with 2B Parameters, Targeting Edge and Mobile Devices
Microsoft AI Releases AutoGen v0.4: A Comprehensive Update to Enable High-Performance Agentic AI through Asynchronous Messaging and Modular Design
MiniMax-Text-01 and MiniMax-VL-01 Released: Scalable Models with Lightning Attention, 456B Parameters, 4M Token Contexts, and State-of-the-Art Accuracy
Alibaba Qwen Team just Released ‘Lessons of Developing Process Reward Models in Mathematical Reasoning’ along with a State-of-the-Art 7B and 72B PRMs
OpenBMB Just Released MiniCPM-o 2.6: A New 8B Parameters, Any-to-Any Multimodal Model that can Understand Vision, Speech, and Language and Runs on Edge Devices
Meet Parlant: A New Open-Source Framework for Reliable AI Agents
Meet Parlant: A New Open-Source Framework for Reliable AI Agents (With Parlant, you can not only spin up and serve an LLM agent in minutes—with a full-fledged & responsive conversation management API—but, more importantly, you can continuously guide and improve its decision making and general behavi
🚨 Recommended Open-Source AI Platform: ‘Parlant is a framework that transforms how AI agents make decisions in customer-facing scenarios.’
Mistral AI Unveils Codestral 25.01: A New SOTA Lightweight and fast Coding AI Model
UC Berkeley Researchers Released Sky-T1-32B-Preview: An Open-Source Reasoning LLM Trained for Under $450 Surpasses OpenAI-o1 on Benchmarks like Math500, AIME, and Livebench
Meet Search-o1: An AI Framework that Integrates the Agentic Search Workflow into the o1-like Reasoning Process of LRM for Achieving Autonomous Knowledge Supplementation
Meta AI Introduces CLUE (Constitutional MLLM JUdgE): An AI Framework Designed to Address the Shortcomings of Traditional Image Safety Systems
Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A Closed-Loop Framework for Automating Scientific Research with Iterative Feedback
Good Fire AI Open-Sources Sparse Autoencoders (SAEs) for Llama 3.1 8B and Llama 3.3 70B
Microsoft AI Introduces rStar-Math: A Self-Evolved System 2 Deep Thinking Approach that Significantly Boosts the Math Reasoning Capabilities of Small LLMs
Introducing Parlant: The Open-Source Framework for Reliable AI Agents
