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

A video from Webbed Briefs

via: https://www.robinsloan.com/lab/language-models-hell/

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - mlabonne/llm-course

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

AI Tools example

Diffused camera app and artificial social network where real humans share synthetic media

Research from The Upwork Research Institute reveals that while leaders expect AI to boost productivity, it may be increasing employee workload.

Companies may unintentionally hurt their sales by including the words “artificial intelligence” when describing their offerings that use the technology, according to a study led by WSU researchers.

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

The tech giants both report surges in greenhouse gas emissions as they double-down on adding artificial intelligence to all of their products.

Applications of [LLMs] have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit […]: the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions.

An attempt to map the relationships and connections between generative AI technologies and human activities.

GitHub Gist: instantly share code, notes, and snippets.