cerebras

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

Interact with any LLM service

Simulate human behavior with mass LLMs

🦖 X—LLM: Simple & Cutting Edge LLM Finetuning

Query LLM with Chain-of-Tought

A robust Node.js proxy server that automatically rotates API keys for Gemini and OpenAI APIs when rate limits (429 errors) are encountered. Built with zero dependencies and comprehensive logging.

AI Accelerators-SC24-tutorial Repository

This repository features an example of how to utilize the xllm library. Included is a solution for a common type of assessment given to LLM engineers

A solution that could prioritize patients based on urgency, reducing wait times and ensuring those who need immediate care.

A Discord Bot using LLMs

Matrix decomposition and multiplication on the Cerebras Wafer-Scale Engine (WSE) architecture

Conversation AI model for open domain dialogs

gpt providers for Nushell

Cerebras × Cline: Hackathon project about AI-powered workflow builder that transforms ideas into executable plans and BRDs. Built with intelligent automation and seamless development integration.

A tool keep tabs on your Cerebras Code usage limits, in real time

A Cerebras AI LLM coding agent for the command line

image generator with React.js, TypeScript, Supabase, Together AI, and Cerebras API

Jarvis-Chat is a Flask-based web application that utilizes various AI models to provide users with a conversational interface for answering questions and completing tasks. It features basic memory for follow-up questions, customizable system prompts, and allows you to select from a variety of AI models. Designed for ease of use,

This evaluation explores the In-context learning (ICL) capabilities of pre-trained language models on arithmetic tasks and sentiment analysis using synthetic datasets. The goal is to use different prompting strategies—zero-shot, few-shot, and chain-of-thought—to assess the performance of these models on the given tasks.

A simple tool to query LLMs from the terminal