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.

That’s because sometimes, Copilot can be uncannily helpful. It can, and does, accomplish in mere seconds what might take me several minutes of focused work and/or rote repetition. It’s excellent at math, at boilerplate, and at pattern recognition.Other times, however, Copilot is clearly just regurgitating irrelevant code samples that aren’t at all useful. Sometimes, it’s so far off base its suggestions are hilarious. (It regularly suggests that I start my components with about 25 nested divs, for example.)

Individually, none of these blobs have agency; but collectively, they reflect what the model has inferred about human diversity in our culture. And that means they have power.

A new study finds that large language models used widely for medical assessments cannot back up claims.

endless emoji crafting game with llama 2

In January, just days after Microsoft announced plans to lay off 10,000 employees as part of broader cost-cutting measures, the company also confirmed it was making a “multibillion dollar” investment into OpenAI.

Pressure grows on artificial intelligence firms over the content used to train their products

Via: https://a11y.info/@ben/111562480627100685

• Image generation with powerful models chews through a smartphone charge’s worth for each image • Text generation is considerably less expensive, but the indiscriminate deployment of text gen everywhere, such as in search results, means this’ll add up, too • General-purpose models are way more expensive than purpose-made models

“…everybody thinks everyone else’s job is easy. That’s why “AI” is going to replace so many people.”

There’s no question that, as AI has surged in popularity, we have entered an era where code lines are being added faster than ever before. The better question for 2024: who’s on the hook to clean up the mess afterward?

We shouldn’t be willing to accept any amount of bias in these machines that we are building

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

“AI” is a marketing term. There’s the stuff that was mainly called “ML” up until 2021 or so, which definitely has practical uses. E.g., if you’re running a social network and need to help humans find the toxic stuff, ML can help.

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

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

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄. - vanna-ai/vanna: 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.