Converting Codebases with LLMs
Leverage LLMs with context like code structure, libraries, and screenshots to streamline code conversion tasks and accelerate development.
Topics /
The most popular blog posts about ai & machine learning on Hacker News. 673 posts.
Leverage LLMs with context like code structure, libraries, and screenshots to streamline code conversion tasks and accelerate development.
Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
UC Santa Cruz researchers show that it is possible to eliminate the most computationally expensive element of running large language models, called matrix multiplication, while maintaining performance.
Over the past month I’ve been exploring the rapidly evolving world of Large Language Models (LLM). It’s now accessible enough to run a LLM on a Raspberry Pi smarter than the original ChatGPT (November 2022). A modest desktop or laptop supports even smarter AI. It’s also private, offline, unlimited, and…
Introducing Hermes 3 in partnership with Nous Research, the first fine-tune of Meta Llama 3.1 405B model. Train, fine-tune or serve Hermes 3 with Lambda
Our commitment to developing cutting-edge open models in multiple modalities necessitates a compute solution capable of handling diverse tasks with efficiency. To this end, we conducted a performance analysis, training two of our models, including the highly anticipated Stable Diffusion 3.
There's been a fair bit of buzz about Kolmogorov-Arnold networks online lately. Some research papers were posted around claiming that they offer better accuracy or faster training compared to traditional neural networks/MLPs for the same parameter count.
Claude, Anthropic's trusted AI assistant, is now available for people and businesses across Europe.
Running multi-camera YOLOv5 on Zynq UltraScale+ using a Hailo-8 AI accelerator via FPGA Drive FMC
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
Important new study from Apple
A look at some of the current thinking around chunking data for retrieval-augmented generation (RAG) systems.
Dragonfly is a vision-language architecture with multi-resolution zoom for fine-grained image understanding, including a medical model beating Med-Gemini.
Wonder Dynamics (Autodesk company), launches Wonder Animation, groundbreaking video-to-3D scene technology that accelerates animated film production by turning any video sequence into a 3D-animated scene.
Google has been a leader on AI development for more than a decade by also being a leader in chip development for more than a decade.
Most LLMs that are competent at generating code, such as ChatGPT, Gemini, and Code Llama, are capable of generating tests.
Quickly understand inscrutable LLM frameworks by intercepting API calls.
This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama.
I gave a talk about accessing Large Language Models from the command-line last week as part of the Mastering LLMs: A Conference For Developers & Data Scientists six week long …
Today, Waymo and Hyundai Motor Company announced they have entered into a multi-year, strategic partnership.
are they good or bad?
"Lorem ipsum is latin, slightly jumbled, the remnants of a passage from Cicero's _de Finibus_ 1.10.32, which begins 'Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit...' [There is no one who loves pain itself, who seeks after it and wants to have it, simply because it is…
I think we have an answer on whether AIs will reshape work....
Discover how prover-verifier games improve the legibility of language model outputs, making AI solutions clearer, easier to verify, and more trustworthy for both humans and machines.
This article provides a short introduction to the pipeline used to create the data to train large language models (LLMs) such as LLaMA using Common Crawl (CC).
I summarise the kinds of evaluations that are needed for a structured data generation task.