Latest #llm Threads 
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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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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Build an AI Agent (From Scratch) is a step-by-step guide to creating a working AI agent, starting with the bare essentials and growing yo...
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Episode 273 of Thinking Elixir. News includes Chris McCord releasing a shell-based web browser tool for LLMs extracted from phoenix.new, ...
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Reproducibility is a bedrock of scientific progress. However, it’s remarkably difficult to get reproducible results out of large language...
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Episode 269 of Thinking Elixir. News includes the release of Expert, the new official Elixir LSP that’s already supported by Zed editor, ...
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In Build a Reasoning Model (From Scratch), acclaimed ML research engineer Sebastian Raschka takes you inside the black box of reasoning-e...
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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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Episode 267 of Thinking Elixir. News includes the exciting announcement of Tidewave Web, a new AI-powered service that runs locally in yo...
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Do we have to disclaim how we use AI ?
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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 ...
New
This Month's Trending
Build an AI Agent (From Scratch) is a step-by-step guide to creating a working AI agent, starting with the bare essentials and growing yo...
New
LLM inference that gets faster as you use it. Our runtime-learning accelerator adapts continuously to your workload, delivering 500 TPS o...
New
Episode 273 of Thinking Elixir. News includes Chris McCord releasing a shell-based web browser tool for LLMs extracted from phoenix.new, ...
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This Year's Trending
In Build a Reasoning Model (From Scratch), acclaimed ML research engineer Sebastian Raschka takes you inside the black box of reasoning-e...
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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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Loads of news stories about DeepSeek here in the last few days, no surprise as it’s been making headlines across the world! Currently a h...
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But for what I do use LLMs for, it’s invaluable.
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How the Elixir community can survive — and thrive — in an age of LLMs.
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Episode 267 of Thinking Elixir. News includes the exciting announcement of Tidewave Web, a new AI-powered service that runs locally in yo...
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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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This post documents how I built a cross-platform Elixir NIF in C to get on-demand up-to-date disk-usage stats without relying on os_mon a...
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Episode 264 of Thinking Elixir. News includes Phoenix v1.8 shipping with an AGENTS markdown file for new apps to enhance coding agent exp...
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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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Episode 266 of Thinking Elixir. News includes the official release of Phoenix 1.8.0 with exciting new features like dark mode themes, str...
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I just came across this tool. It looks interesting.
Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platfor...
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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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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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Kindllm - LLM chat for Kindle.
The distraction-free LLM chat app for Kindle
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Hello from Scrapegraph-ai | Scrapegraph-ai.
Official documentation of Scrapegraph-ai
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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 ...
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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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Episode 185 of Thinking Elixir. Dive into the world of structured LLM prompting with our latest guest who shares insights on their innova...
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Trending Over Three Years
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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A new Go blog post/announcement has been posted!
Get the full details here: Building LLM-powered applications in Go - The Go Programmin...
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Forest Friends Zine.
A guide for AI Engineers building the wild world of LLM system evals
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A misconfiguration that might have cost us $7,000
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Thinking Elixir 260: Cheaper testing with AI?
Episode 260 of Thinking Elixir. News includes LiveDebugger v0.3.0 with enhanced debugging ...
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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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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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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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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.
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A big barrier to getting started with local AI development is access to hardware. And by “local”, I mean having direct access to a GPU an...
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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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Do we have to disclaim how we use AI ?
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