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PGVector's Missing Features — Trieve
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.
·trieve.ai·
PGVector's Missing Features — Trieve
The rise of the AI crawler - Vercel
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.
·vercel.com·
The rise of the AI crawler - Vercel
Making it easier to build human-in-the-loop agents with interrupt
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
·blog.langchain.dev·
Making it easier to build human-in-the-loop agents with interrupt
OpenAI Realtime API: The Missing Manual
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
·latent.space·
OpenAI Realtime API: The Missing Manual
Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents
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.
·aws.amazon.com·
Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents
Supercharging LLM Application Development with LLM-Kit
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.
·engineering.grab.com·
Supercharging LLM Application Development with LLM-Kit
A guide to Amazon Bedrock Model Distillation (preview)
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.
·aws.amazon.com·
A guide to Amazon Bedrock Model Distillation (preview)
AI SDK 4.0 - Vercel
AI SDK 4.0 - Vercel
Introducing PDF support, computer use, and an xAI Grok provider
·vercel.com·
AI SDK 4.0 - Vercel
AI Engineer Roadmap
AI Engineer Roadmap
Learn to become an AI Engineer using this roadmap. Community driven, articles, resources, guides, interview questions, quizzes for modern backend development.
·roadmap.sh·
AI Engineer Roadmap
Weights & Biases
Weights & Biases
Weights & Biases, developer tools for machine learning
·wandb.ai·
Weights & Biases
The Complete RAG Course - Learn AI Skills
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...
·youtube.com·
The Complete RAG Course - Learn AI Skills
before you code, learn how computers work
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. Code: https://pastebin.com/raw/TpHbB91G 🏫 COURSES 🏫 Learn to code in C at https://lowlevel.academy 📰 NEWSLETTER 📰 Sign up for our newsletter at https://mailchi.mp/lowlevel/the-low-down 🛒 GREAT BOOKS FOR THE LOWEST LEVEL🛒 Blue Fox: Arm Assembly Internals and Reverse Engineering: https://amzn.to/4394t87 Practical Reverse Engineering: x86, x64, ARM, Windows Kernel, Reversing Tools, and Obfuscation : https://amzn.to/3C1z4sk Practical Malware Analysis: The Hands-On Guide to Dissecting Malicious Software : https://amzn.to/3C1daFy The Ghidra Book: The Definitive Guide: https://amzn.to/3WC2Vkg 🔥🔥🔥 SOCIALS 🔥🔥🔥 Low Level Merch!: https://lowlevel.store/ Follow me on Twitter: https://twitter.com/LowLevelTweets Follow me on Twitch: https://twitch.tv/lowlevellearning Join me on Discord!: https://discord.gg/gZhRXDdBYY
·youtube.com·
before you code, learn how computers work
Adding payments to your LLM agentic workflows
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.
·stripe.dev·
Adding payments to your LLM agentic workflows
NVIDIA AI Learning Essentials
NVIDIA AI Learning Essentials
Build skills, get certified, and learn from NVIDIA experts through hands-on self-paced courses and instructor-led workshops.
·nvidia.com·
NVIDIA AI Learning Essentials