This Week's Trending
Can LLMs control robots? We answer this by testing how good models are at passing the butter – or more generally, do delivery tasks in a ...
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This Month's Trending
LLM inference that gets faster as you use it. Our runtime-learning accelerator adapts continuously to your workload, delivering 500 TPS o...
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This Year's Trending
Reproducibility is a bedrock of scientific progress. However, it’s remarkably difficult to get reproducible results out of large language...
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Comparison and ranking the performance of over 100 AI models (LLMs) across key metrics including intelligence, price, performance and spe...
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But for what I do use LLMs for, it’s invaluable.
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Reverse Engineering Cursor’s LLM Client
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By some appearances, at least, the kernel community has been relatively insulated from the onsl […]
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One common practice for working with MCP tools calls is to put the outputs from a tool back into the LLM as a message, and ask the LLM fo...
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CocoIndex now supports knowledge graph with incremental processing. Build live knowledge for agents is super easy with CocoIndex!
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A misconfiguration that might have cost us $7,000
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In this technical report, we tackle the challenges of training large-scale Mixture of Experts (MoE) models, focusing on overcoming cost i...
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Confused by LLMs, RAG, & AI Agents? We break down the spectrum of AI system design with a familiar resume-screening example to show t...
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Do we have to disclaim how we use AI ?
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A practical handbook for engineers building, optimizing, scaling and operating LLM inference systems in production.
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llms.txt is an emerging standard for making content such as docs available for direct consumption by AIs. We’re proposing a convention to...
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Large Language Models (LLMs) have revolutionized natural language processing, but their varying capabilities and costs pose challenges in...
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GitHub - NVIDIA/garak: the LLM vulnerability scanner.
the LLM vulnerability scanner. Contribute to NVIDIA/garak development by creating ...
New
Last Three Year's Trending
Self-Retrieval: Building an Information Retrieval System with One Large Language Model.
The rise of large language models (LLMs) has tra...
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GitHub - intel-analytics/ipex-llm: Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma...
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GitHub - rasbt/LLMs-from-scratch: Implementing a ChatGPT-like LLM from scratch, step by step.
Implementing a ChatGPT-like LLM from scrat...
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GitHub - google/maxtext: A simple, performant and scalable Jax LLM!.
A simple, performant and scalable Jax LLM! Contribute to google/max...
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Code LoRA from Scratch - a Lightning Studio by sebastian.
LoRA (Low-Rank Adaptation) is a popular technique to finetune LLMs more effici...
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Home | ArtificialAnalysis.ai.
Analysis of AI models and hosting providers - choose the best model and provider for your use case
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Hello from Scrapegraph-ai | Scrapegraph-ai.
Official documentation of Scrapegraph-ai
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Kindllm - LLM chat for Kindle.
The distraction-free LLM chat app for Kindle
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AMD’s MI300X Outperforms NVIDIA’s H100 for LLM Inference.
Discover if AMD’s MI300X accelerator can outperform NVIDIA’s H100 in real-worl...
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Hello Qwen2.
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD
Introduction After months of efforts, we are pleased to announce the evolution...
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GitHub - google-deepmind/recurrentgemma: Open weights language model from Google DeepMind, based on Griffin…
Open weights language model...
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Jamba: A Hybrid Transformer-Mamba Language Model.
We present Jamba, a new base large language model based on a novel hybrid Transformer-...
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Use Prolog to improve LLM’s reasoning.
On one side, LLMs show unseen capabilities in reasoning, but on the other - reasoning in LLMs is ...
New
Get consistent data from your LLM with JSON Schema.
How to parse content from a tool that is made to speak in human sentences.
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Building an early warning system for LLM-aided biological threat creation.
We’re developing a blueprint for evaluating the risk that a l...
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Trending Over Three Years
Forest Friends Zine.
A guide for AI Engineers building the wild world of LLM system evals
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From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples.
We analyze how well pre...
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What would an LLM OS look like?.
Andrej Karpathy’s YouTube channel is fantasic. He just published an Intro to Large Language Models vide...
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Can GPT Optimize My Taxes?.
TL;DR Yep.
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LLM inference speed of light.
In the process of working on calm, a minimal from-scratch fast CUDA implementation of transformer-based la...
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GitHub - apple/ml-mgie.
Contribute to apple/ml-mgie development by creating an account on GitHub.
New
Aya.
Cohere’s non-profit research lab, C4AI, released the Aya model, a state-of-the-art, open source, massively multilingual, research L...
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Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large ...
New
DRINK ME: (Ab)Using a LLM to compress text.
Introduction
Large language models are trained on huge datasets of text to learn the relat...
New
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.
In this work, we discuss building performant Multimodal Large La...
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Wikipedia Citation Needed.
A chrome extension for finding citations in Wikipedia by using ChatGPT
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If you’re underwhelmed with AI coding agents or simply want to get more out of them, give parallelization a try. After seeing the results...
New
Rethinking LLM Inference: Why Developer AI Needs a Different Approach.
A technical blog post from Augment Code explaining their approach...
New
How local, learnable routers can reduce token overhead, lower costs, and bring structure back to agentic workflows.
New
My experience creating software with LLM coding agents - Part 2 This post details my experiences creating software with LLM coding agents...
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