Cohere provides access to advanced Large Language Models and NLP tools.
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Code2prompt is a command line tool that converts a codebase into a single LLM prompt. It includes source tree representation, prompt templating functionality, and token counting capabilities. Installation options include Cargo, Homebrew, and a pip SDK.
Open Code LLMs for Code Understanding and Generation.
Cohere builds powerful AI models and enterprise AI solutions that enable organizations to automate processes, empower employees, and turn fragmented data into actionable insights. Its offerings are private, secure, and customizable for enterprise use.
Cohere AI provides documentation for its natural language processing and generation API. The site offers guides, API references, release notes, cookbooks, and learning resources such as LLM University to help developers integrate Cohere's models.
Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
Open source web crawler built for extracting clean website data for AI and LLM workflows.
Dataiku is described as a platform for AI success that unites people, orchestration, and governance. It brings analytics, models, and AI agents together in a single governed system, with centralized routing, quotas, monitoring, and safety controls for managing LLM providers.
Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits.
DataTalks.Club is an online community for data science professionals, ML engineers and AI practitioners. It offers free courses, weekly podcasts, webinars, workshops and book discussions, along with articles, a Slack group and a weekly newsletter. Events and podcast episodes cover topics such as machine learning, AI platforms and LLM engineering.
An agentic LLM for autonomous data science that performs data preparation, analysis, modeling, visualization, and report generation without human intervention. It supports open-ended research on structured, semi-structured, and unstructured data sources, and the model, code, training data, and demo are open-sourced.
DemoGPT is a tool that enables users to create agentic applications using prompts. It provides all components required for LLM agent development, including tools, prompts, frameworks, and models, in a single package.
Dify is an open-source LLM app development platform with a visual canvas for AI workflows and RAG pipelines, plus model management and observability. It can be deployed on cloud, VPC, or self-hosted, and integrates with proprietary and open-source LLMs.
Dominodatalab supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Entroly is a tool designed to reduce AI context costs. It performs reversible, byte-exact recoverable context reductions that include auditable receipts, operates in a local-first manner, and is compatible with proxy, MCP, SDK, and agent wrapper integrations.
Annotated talk slides by Arvind Narayanan and Sayash Kapoor of Princeton University, dated October 4, 2023, on evaluating large language models. The slides discuss three hard problems in LLM evaluation: prompt sensitivity, construct validity and contamination, and examine questions about ChatGPT's behavior over time and its political bias.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Every ChatGPT GUI is a repository list tracking graphical user interface alternatives for accessing the API for ChatGPT, Claude and other LLMs. It groups open source web AI chats, browser extensions, Obsidian plugins, self-hosted tools and desktop apps, with demo and source links. The repository is MIT licensed and accepts pull requests to add or remove apps.
Explore Clinical & Biomedical Language Models provides machine-learning models, research, training resources, or evaluation tools.
A blog post summarizing a University of Illinois study on solo performance prompting (SPP), a prompt engineering method in which an LLM summons multiple personas that collaborate on a task. The post describes the SPP prompt structure and reports on three experiments: Trivia Creative Writing, Codenames Collaborative, and Logic Grid Puzzle.
A blog post by Hamel Husain, published February 14, 2024, describing how to intercept LLM API calls with mitmproxy to see the prompts sent by frameworks such as Guardrails, Guidance and Langchain. The post argues that these prompts are the fastest way to understand how such tools work.
FastEdit is a repository intended to help developers inject fresh and customized knowledge into large language models using one command. It supports models including GPT-J, LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, and InternLM. The implemented algorithm is Rank-One Model Editing (ROME). It requires Python 3.8+ and PyTorch 1.13.1+.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features, delivering structured data to AI and LLM applications during training and inference. Documented use cases include real-time recommendations, fraud detection, risk scoring, and customer segmentation.
fenn is a Python framework for building machine learning and deep learning workflows and LLM agents. It provides prebuilt trainers, agent templates, logging, and configuration management, with YAML configuration parsed and injected into the entrypoint with CLI override support. It is released under the MIT license.