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.

A web interface bot to check and improve grammar and phrasing of your input, similar to Quillbot or Grammarly. Use any backend LLM service of your choice, even locally hosted ones (check “Installation” for more)!

ALISON GOPNIK: A very common trope is to treat LLMs as if they were intelligent agents going out in the world and doing things. That’s just a category mistake. A much better way of thinking about them is as a technology that allows humans to access information from many other humans and use that information to make decisions. We have been doing this for as long as we’ve been human. Language itself you could think of as a means that allows this. So are writing and the internet. These are all ways that we get information from other people. Similarly, LLMs give us a very effective way of accessing information from other humans. Rather than go out, explore the world, and draw conclusions, as humans do, LLMs statistically summarize the information humans put onto the web.

Four ginever glasses with different flavors of liqueur sit on a mirrored table at Distilleerderij’t Nieuwe Diep in Fevopark, Amsterdam. Only one manufacturer makes these traditional glasses, and it’s closing. The distillery has stockpiled thousands of the glasses, intent on serving the drink in its original glassware long after that glassware becomes unavailable. This is…

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.