Prototype and productionize AI features with a modern JS/TS stack

A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.

A guide on how to convert .epub e-books into high-quality audiobooks narrated by neural text-to-speech

Notes on the Practical Wisdom of AI Use

Prompt, run, edit. Create web applications with AI help.

Arch is an intelligent prompt gateway. Engineered with (fast) LLMs for the secure handling, robust observability, and seamless integration of prompts with APIs - all outside business logic. Built by the core contributors of Envoy proxy, on Envoy. - katanemo/arch

Visual workspace for thinking with AI

Hybrid search engine, combining best features of text and semantic search worlds - nixiesearch/nixiesearch

Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.

txtai is an all-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Experts.js is the easiest way to create and deploy OpenAI’s Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail. - metaskills/experts

Deep Infra offers cost-effective, scalable, easy-to-deploy, and production-ready machine-learning models and infrastructures for deep-learning models.

This is Dot, a standalone open source app meant for easy use of local LLMs and RAG in particular to interact with documents and files similarly to Nvidia’s Chat with RTX. Dot itself is completely standalone and is packaged with all dependencies including a copy of Mistral 7B, this is to ensure the app is as accessible as possible and no prior knowledge of programming or local LLMs is required to use it.

Ollama JavaScript library. Contribute to ollama/ollama-js development by creating an account on GitHub.

Analysis of AI models and hosting providers - choose the best model and provider for your use case