AI/ML

Introduction to Langchain Javascript Embeddings, Vectorstorage, Similarity Search. How to Create GPT-3 GPT-4 Chatbots that can contextually reference your data (txt, JSON, webpages, PDF) with embeddings. Discussion into embeddings, vectorstorage options such as Pinecone, Chroma, Langchain, Supabase, Weaviate. Starmorph Resources Website: https://Starmorph.com Starmorph Tools https://starmorph.com/ai-tools Consulting 1hr Call: https://cal.com/starmorphai/consultingcall?duration=60 Langchain Resources Langchain JS Docs: https://js.langchain.com/docs/ OpenAI Embeddings Docs: https://platform.openai.com/docs/guides/embeddings/use-cases

Atlassian introduces AI-driven virtual teammate, Atlassian Intelligence, that brings together Atlassian's own model and OpenAI's tools.

archived 21 Apr 2023 21:54:24 UTC

Explore a community-driven platform to discover, upvote, and share the best AI prompts for ChatGPT & Bard. Follow topics, create and organize prompts, and connect with expert prompters. Unlock AI’s full potential with Snack Prompt.

A school for camelids. Contribute to danielgross/LlamaAcademy development by creating an account on GitHub.

More details on the science of training large autoregressive language models.

Can I create an app in under an hour that converts long form spoken audio to bullet points for texting? Let's find out!

voice record whisper gpt copy to clipboard. Contribute to bramses/i-aint-reading-all-that development by creating an account on GitHub.

Your own evolving, self-organized, knowledge base. The more content you collect, the smarter it gets.

Tensor library for machine learning. Contribute to lxe/wasm-gpt development by creating an account on GitHub.

Over the past two weeks, there has been a massive increase in using LLMs in an agentic manner. Specifically, projects like AutoGPT, BabyAGI, CAMEL, and Generative Agents have popped up. The LangChain community has now implemented some parts of all of those projects in the LangChain framework. While researching and

Auto-GPT/BabyAGI Executive Summary, a Brief History of Autonomous Agentic AI, and Predictions for Autonomous Future

The Hyena code is able to handle amounts of data that make GPT-style technology run out of memory and fail.

🔊 Text-Prompted Generative Audio Model. Contribute to suno-ai/bark development by creating an account on GitHub.

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StableLM: Stability AI Language Models. Contribute to Stability-AI/StableLM development by creating an account on GitHub.

...but the other 10% are worth 1000x

These are key elements of diagnostic decision-making, elements that ought not to be casually discarded.

Voicemod is launching initially as a beta for macOS

Google has to make some big decisions about fair use, YouTube, and building AI tools of its own.

RedPajama is “a project to create leading open-source models, starts by reproducing LLaMA training dataset of over 1.2 trillion tokens”. It’s a collaboration between Together, Ontocord.ai, ETH DS3Lab, Stanford CRFM, …

A curated collection of interesting applications, repos, and tutorials using large language models (LLM) like GPT-3 - mallahyari/llm-hub: A curated collection of interesting applications, repos, an...

Over the last three weeks or so I’ve been following the crazy rate of development around locally run large language models (LLMs), starting with llama.cpp, then alpaca and most recently (?!) …

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

RedPajama is a project to create a set of leading, fully open-source models. Today, we are excited to announce the completion of the first step of this project: the reproduction of the LLaMA training dataset of over 1.2 trillion tokens.

An artist is refusing his prize after his AI-generated image controversially won first place at one of the most prestigious photo contests.

In this post, we walk through my entire workflow/process for bringing Stable Diffusion to life as a high-quality framed art print. We’ll touch on making art with Dreambooth, Stable Diffusion, Outpainting, Inpainting, Upscaling, preparing for print with Photoshop, and finally printing on fine-art paper with an Epson XP-15000 printer.

Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF's learned mapping from spatial coordinates to colors and volumetric density. However, these grid-based approaches lack an explicit understanding of scale and therefore often introduce aliasing, usually in the form of jaggies or missing scene content. Anti-aliasing has previously been addressed by mip-NeRF 360, which reasons about sub-volumes along a cone rather than points along a ray, but this approach is not natively compatible with current grid-based techniques. We show how ideas from rendering and signal processing can be used to construct a technique that combines mip-NeRF 360 and grid-based models such as Instant NGP to yield error rates that are 8%-76% lower than either prior technique, and that trains 22x faster than mip-NeRF 360.