Fast LLM Inference From Scratch
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Ask HN: SWEs how do you future-proof your career in light of LLMs? | Hacker News
Finally, a Replacement for BERT: Introducing ModernBERT
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
PGVector's Missing Features — Trieve
PGVector offers infrastructure simplicity at the cost of missing some key features desireable in search solutions. We explain what those are in this blog.
The rise of the AI crawler - Vercel
New research reveals how ChatGPT, Claude, and other AI crawlers process web content, including JavaScript rendering, assets, and other behavior and patterns—with recommendations for site owners, devs, and AI users.
Model Spec (2024/05/08)
What It Actually Takes to Deploy GenAI Applications to Enterprises: Arjun Bansal and Trey Doig
Join Trey Doig and Arjun Bansal as they recount Echo AI’s journey rolling out its conversational intelligence platform to billion-dollar retail brands. They’...
Blog: Understanding OpenAI Swarm: A Framework for Multi-Agent Systems
Explore OpenAI Swarm, a revolutionary framework for coordinating specialized AI agents through elegant, simple architecture.
Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast #452
Dario Amodei is the CEO of Anthropic, the company that created Claude. Amanda Askell is an AI researcher working on Claude's character and personality. Chris...
Making it easier to build human-in-the-loop agents with interrupt
While agents can be powerful, they are not perfect. This often makes it important to keep the human “in the loop” when building agents. For example, in our fireside chat we did with Michele Catasta (President of Replit) on their Replit Agent, he speaks several times about the human-in-the-loop component
OpenAI Realtime API: The Missing Manual
Everything we learned, and everything we think you need to know, from technical details on 24khz/G.711 audio, RTMP, HLS, WebRTC, to Interruption/VAD, to Cost, Latency, Tool Calls, and Context Mgmt
Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents
This post demonstrates how to use Amazon Bedrock Agents, Amazon Knowledge Bases, and the RAGAS evaluation metrics to build a custom hallucination detector and remediate it by using human-in-the-loop. The agentic workflow can be extended to custom use cases through different hallucination remediation techniques and offers the flexibility to detect and mitigate hallucinations using custom actions.
Finetuning LLM Judges for Evaluation
The Prometheus suite, JudgeLM, PandaLM, AutoJ, and more...
Democratize Data and Information With Text-To-Code Models (text2sql)
In the past few years, Large Language Models (LLMs) have entered our lives and enabled us to perform a wide range of advanced tasks such as…
Behind the platform: the journey to create the LinkedIn GenAI application tech stack
Supercharging LLM Application Development with LLM-Kit
Discover how Grab's LLM-Kit enhances AI app development by addressing scalability, security, and integration challenges. This article discusses the challenges faced in LLM app building, the solution, the architecture of the LLM-Kit as well as the future plans of the LLM-Kit.
A guide to Amazon Bedrock Model Distillation (preview)
This post introduces the workflow of Amazon Bedrock Model Distillation. We first introduce the general concept of model distillation in Amazon Bedrock, and then focus on the important steps in model distillation, including setting up permissions, selecting the models, providing input dataset, commencing the model distillation jobs, and conducting evaluation and deployment of the student models after model distillation.
Understanding RAG Part I: Why It’s Needed - MachineLearningMastery.com
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AI SDK 4.0 - Vercel
Introducing PDF support, computer use, and an xAI Grok provider
AI Engineer Roadmap
Learn to become an AI Engineer using this roadmap. Community driven, articles, resources, guides, interview questions, quizzes for modern backend development.
Introduction - Model Context Protocol
Get started with the Model Context Protocol (MCP)
Weights & Biases
Weights & Biases, developer tools for machine learning
Building RAG with Open-Source and Custom AI Models
Everything you need to know about building production-ready RAG systems.
The Complete RAG Course - Learn AI Skills
Use code YOUTUBE to get an extra 20% off my AI courses here:https://www.jointakeoff.com/This is the RAG course from Takeoff. We're making the full videos fro...
Your LLMs need meta prompting
before you code, learn how computers work
People hop on stream all the time and ask me, what is the fastest way to learn about the lowest level? How do I learn about how computers work. Check out this video to find out.
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Adding payments to your LLM agentic workflows
This post discusses integrating the Stripe agent toolkit with large language models (LLMs) to enhance automation workflows, enabling financial services access, metered billing, and streamlined operations across agent frameworks.
Google for Developers Blog - News about Web, Mobile, AI and Cloud
The first Web AI Summit, hosted by Google on October 18, 2024, brought together experts in machine learning models for web browsers.
AI Roadmap Stanford Certificate.pdf
NVIDIA AI Learning Essentials
Build skills, get certified, and learn from NVIDIA experts through hands-on self-paced courses and instructor-led workshops.