https://www.youtube.com/watch?v=a8-QsBHoH94
Chelsea Finn: Building Robots That Can Do Anything - YouTube
Chelsea Finn: Building Robots That Can Do Anything - YouTube
YouTube
Chelsea Finn: Building Robots That Can Do Anything
Chelsea Finn on June 17th, 2025 at AI Startup School in San Francisco.
From MIT through her PhD at Berkeley, where she pioneered meta‑learning methods, and Google Brain, Chelsea Finn has built her career around teaching machines how to learn. Now an Assistant…
From MIT through her PhD at Berkeley, where she pioneered meta‑learning methods, and Google Brain, Chelsea Finn has built her career around teaching machines how to learn. Now an Assistant…
https://www.youtube.com/watch?v=XNneh6-eyPg
Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4j - YouTube
Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4j - YouTube
YouTube
Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4j
RAG has become one standard architecture component for GenAI applications to address hallucinations and integrate factual knowledge. While vector search over text is common, knowledge graphs represent a proven advancement by leveraging advanced RAG patterns…
https://qwenlm.github.io/blog/qwen3-coder/
Qwen3-Coder: Agentic Coding in the World | Qwen
Qwen3-Coder: Agentic Coding in the World | Qwen
Qwen
Qwen3-Coder: Agentic Coding in the World
GITHUB HUGGING FACE MODELSCOPE DISCORD
Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct — a…
Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct — a…
https://www.youtube.com/watch?v=hpC4qjWu_aY
Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis) - YouTube
Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis) - YouTube
YouTube
Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)
Paper: https://research.trychroma.com/context-rot
Abstract:
Large Language Models (LLMs) are typically presumed to process context uniformly—that is, the model should handle the 10,000th token just as reliably as the 100th. However, in practice, this assumption…
Abstract:
Large Language Models (LLMs) are typically presumed to process context uniformly—that is, the model should handle the 10,000th token just as reliably as the 100th. However, in practice, this assumption…
https://www.youtube.com/watch?v=KTvwPRewrmA
Model Context Protocol (MCP) Explained + Hands-on Tutorial - YouTube
Model Context Protocol (MCP) Explained + Hands-on Tutorial - YouTube
YouTube
Model Context Protocol (MCP) Explained + Hands-on Tutorial
Claim your free trial on Decodo: https://visit.decodo.com/aOL4yR
🚀 Introduction:
================================
Master the Model Context Protocol (MCP) in this all-in-one tutorial that takes you from foundational concepts to full-stack implementation…
🚀 Introduction:
================================
Master the Model Context Protocol (MCP) in this all-in-one tutorial that takes you from foundational concepts to full-stack implementation…
https://research.trychroma.com/context-rot
Context Rot: How Increasing Input Tokens Impacts LLM Performance | Chroma Research
Context Rot: How Increasing Input Tokens Impacts LLM Performance | Chroma Research
Trychroma
Context Rot: How Increasing Input Tokens Impacts LLM Performance
https://blog.mozilla.ai/introducing-any-llm-a-unified-api-to-access-any-llm-provider/
Introducing any-llm: A unified API to access any LLM provider
Introducing any-llm: A unified API to access any LLM provider
Mozilla.ai
Introducing any-llm: A unified API to access any LLM provider
When it comes to using LLMs, it’s not always a question of which model to use: it’s also a matter of choosing who provides the LLM and where it is deployed. Today, we announce the release of any-llm, a Python library that provides a simple unified interface…
https://www.inceptionlabs.ai/introducing-mercury
Inception Labs
Inception Labs
www.inceptionlabs.ai
Inception Labs
We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks.
https://www.youtube.com/watch?v=eUUalcdNOho
Qwen 3 Coder explained in 5 minutes - YouTube
Qwen 3 Coder explained in 5 minutes - YouTube
YouTube
Qwen 3 Coder explained in 5 minutes
Qwen 3 Coder released by Alibaba is making all the news in the AI industry, only leaving 13 days for Kimi K2 by MoonShot to enjoy their spotlight. The coding model is a mixture of expert LLM that is specialized on trillions of tokens that are mostly coding…
https://www.youtube.com/watch?v=LG7Sz-VfFdU
How Cline actually works.. (Explained) - YouTube
How Cline actually works.. (Explained) - YouTube
YouTube
How Cline actually works.. (Explained)
Cline is an AI coding tool that allows developers and coders automate their code. I'm going to be explaining how Client actually works and why Cline works so well. It can understand your codebase with token size limit but using LLM's tool call and private…
https://x.com/jasonzhou1993/status/1948334295120314793
Jason Zhou on X: "I was using Claude Code wrong... Here’s what I learnt and how I maximise Claude Code performance + Best tips that ACTUALLY useful 👇 Thread below https://t.co/3Yx8bcztSF" / X
Jason Zhou on X: "I was using Claude Code wrong... Here’s what I learnt and how I maximise Claude Code performance + Best tips that ACTUALLY useful 👇 Thread below https://t.co/3Yx8bcztSF" / X