🦞🌯 Lobster Roll

All LHN/.~Ars
RSS

Showing stories from 2024-04. View all

NewestOldestTop ScoredMost Discussed
Llamafile’s progress, four months in (hacks.mozilla.org)
How we built Text-to-SQL at Pinterest (medium.com)
AI video won't work in Hollywood, because it can't make small iterative changes, former Pixar animator says (gizmodo.com)
ChatGPT provides false information about people, and OpenAI can’t correct it (noyb.eu)
Finding Trends With Approximate Embedding Clustering (aspiring.dev)
RepoQA for Evaluating Long-Context Code Understanding (evalplus.github.io)
Baltimore high school athletic director used AI to create fake racist audio of principal: Police (abcnews.go.com)
May the best AI win - Abu Dhabi Autonomous Racing League (youtube.com)
simone: Repurpose your YouTube videos by converting them into blog posts (github.com)
How I search in 2024 (vickiboykis.com)
AI / LLM bot blocker web server configs (github.com)
Go or Rust? Just Listen to the Bots (cybernetist.com)
Overcoming Hallucinations with the Trustworthy Language Model (cleanlab.ai)
Using Vectors without a Vector Database (swirlaiconnect.com)
Tokens for LLMs: Byte Pair Encoding in Go (eli.thegreenplace.net)
Reddit, AI spam bots explore new ways to show ads in your feed (arstechnica.com)
Fine-tuning OpenAI models (gajus.com)
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework (arxiv.org)
No, LLM Agents can not Autonomously Exploit One-day Vulnerabilities (struct.github.io)
Scandal erupts over Netflix's no. 1 show 'What Jennifer Did' and possible use of artificial intelligence (sfgate.com)
LLM Agents can Autonomously Exploit One-day Vulnerabilities (arxiv.org)
Bing Copilot (ChatGPT-4) Flunks Math (cs.dartmouth.edu)
It’s the End of the Web as We Know It (archive.is)
anthropic-rb: Ruby bindings for the Anthropic API (github.com)
But what is a GPT? Visual intro to transformers (youtube.com)
In US lawsuit, ex-Amazon AI exec claims she was asked to ignore intellectual property law (theregister.com)
LLM in a flash: Efficient Large Language Model Inference with Limited Memory (arxiv.org)
Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However, their substantial computational and memory requirements present challenges, especially for devices with limited DRAM capacity. This paper tackles the challeng...
Options for accessing Llama 3 from the terminal using LLM (simonwillison.net)
On Llamafile not making sense (gist.github.com)
The Future of Ruby and Rails in the Age of AI (obie.medium.com)