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Avoiding hallucinations in LLM-powered applications
Do Androids dream of electric sheep?
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,329 posts.
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MCP is a fad
Model Context Protocol has taken off as the standardized platform for AI integrations, but this popularity will be short-lived.
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Self driving cars and beyond
The story of technology is not unlike what often happens in dramatic stories and plays, where a “deus ex machina” or character drops down magically from the skies onto our world stage. But in reality, technology never comes so suddenly, or in such an isolated manner: There’s an entire ecosystem that grows up around…
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Let's Talk about ChatGPT with Code Interpreter and Microsoft Copilot
Let's talk about ChatGPT with Code Interpreter & Microsoft Copilot
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Stone Soup AI (2024)
For some time, I’ve argued that a common conception of AI is misguided. This is the idea that AI systems like large language and vision models are individual intelligent agents, analogous to human agents. Instead, I’ve argued that these models are “cultural technologies” like writing, print, pictures, libraries…
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YOLOv5 on FPGA with Hailo-8 and 4 Pi Cameras
Running multi-camera YOLOv5 on Zynq UltraScale+ using a Hailo-8 AI accelerator via FPGA Drive FMC
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Orchestrating AI code review at scale
Learn about how we built a CI-native AI code reviewer using OpenCode that helps our engineers ship better, safer code.
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George Eliot's reflections on AGI from 1879
Forgotten musings on the economics of AI, an intelligence explosion, and machine consciousness
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Cloud AI Platform Pipelines
AI Platform Pipelines provides enterprise-ready infrastructure for deploying and running structured ML workflows, and pipeline tools for building, debugging, and sharing pipelines and components.
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Speculative Decoding in vLLM on AMD GPUs
A practical guide to speculative decoding in vLLM on AMD GPUs, covering draft-and-verify mechanics, MTP, EAGLE-3, DFlash, DSpark, configuration, tuning, and ben
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Early Days of AI
Rather then view LLMs, Transformers, and diffusion models as part of a continuum with past "AI", it is worth thinking of this as an entirely new era and discontinuity from the past
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Infinite Context LLMs: Going Beyond RAG with Extended Minds
In this blog we discuss how the transformer architecture naturally extends over external memories, and share empirical results which leverage this capability. These methods are innate (don't require fine tuning) and outperform popular retrieval augmented generation methods.
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Want to get started with LLMs? Here's what you need to know
Fly further together. Ask questions and share ideas in a global community of AI and ML builders.
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Knowledge Graphs in RAG: Hype vs. Ragas Analysis
A deep dive on Microsoft's GraphRAG paper found questionable metrics with vaguely defined lift, so I analyzed knowledge graphs in RAG overall using Neo4j vs FAISS
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Mistral Saba
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
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Learning with Not Enough Data: Semi-Supervised Learning
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AI vending machine was tricked into giving away everything
Anthropic installed an AI-powered vending machine in the WSJ office. The LLM, named Claudius, was responsible for autonomously purchasing inventory from wholesa
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The Prospect of an AI Winter
Texts on this and that.
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The same AI request emits 8.5 times more CO2 in Texas than in Sweden
Swedish AI provider Berget AI releases an open-source method for calculating the carbon emissions of every individual AI request, developed with researchers from SEI, WattTime and Klimatkollen — and customers can now follow their emissions per request in the console.
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The Doom Justifies the Valuation
I’ve been in Berkeley for the last 2 weeks. I haven’t really been back here for a while, and it’s worse than you can believe. This is a cult of atheistic hedonists needing AI doom to be true to justify their life choices. Or acceleration. Or something. They need to make impact. I mean, narcissism of small differences…
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Why I chose OpenAI over academia
Part 2 of a blog post about my time on the computer science job market in 2021-2022, in which I discuss my personal decision-making process between offers.
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LLMs don't do formal reasoning
Important new study from Apple
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The Future of Compute: Nvidia's Crown Is Slipping
Demand consolidation, changing compute mix, custom silicon, and distributed training will hurt NVIDIA's pole position.
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Sprinkling self-doubt on ChatGPT
I replaced my ChatGPT personalization settings with this prompt a few weeks ago and promptly forgot about it: Be extraordinarily skeptical of your own…
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MIT's Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training
Through five intense months of meetings, research, and outreach across the MIT community, the Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training sought to understand the role of generative AI in the life and educational mission of the Institute and recommend how to navigate its challenges and…