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AI cannot develop software for you, but that's not going to stop people from trying to make it happen anyway. And that is going to turn all of the easy software development problems into hard problems.

A framework for rapid development and deployment of production-ready RAG systems - SciPhi-AI/R2R

There’s no question that AI will impact jobs. But which jobs are more likely to be replaced by…

An overview of the big ideas behind Mamba, a brand-new language model architecture.

Modern AI rewards being very weird.

Facial-recognition data is typically used to prompt more vending machine sales.

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

When it comes to context windows, size matters

A spreadsheet implementation of GPT2 for understanding AI, Machine Learning, Transformers, and Large Language Models

Use Ollama in Apple Notes

Get answers to complex questions with Phind's AI answer engine.

For all the discussion of how generative AI will impact the legal profession, maybe one answer is that it will weed out the lazy and incompetent lawyers. By now, in the wake of several cases in which...

Generative AI continues to be the hot topic in the digital world – and beyond. A previous blog post noted that this has led to people finally asking the important question wheth…

🔗 Helpful Links:- Explore More: https://SystemSculpt.com- Support SystemSculpt: https://patreon.com/SystemSculpt- Join the Conversation on Discord: https://...

Last November Google updated Bard to include the ability to solve math equations and draw charts based on data. It can be used to run small Python programs.

Language models have shown impressive capabilities. But that doesn’t mean they’re without faults, as anyone who has witnessed a ChatGPT “hallucination” can attest. In this article, Joas Pambou diagnoses the symptoms that cause hallucinations and explains not only what RAG is but also different approaches for using it to solve language model limitations.

The moment you release your words, you relinquish all control.

We’re releasing the Video Joint Embedding Predictive Architecture (V-JEPA) model, a crucial step in advancing machine intelligence with a more grounded understanding of the world.

The privacy mess is troubling because the chatbots actively encourage you to share details that are far more personal than in a typical app.

It's unclear how such egregiously bad images made it through peer-review.

Adam Montgomery wrote this a neat wrapper around my LLM CLI utility: it adds a "llmc" zsh function which you can ask for shell commands (llmc 'use ripgrep to find …

Port of Facebook's LLaMA model in C/C++. Contribute to ggerganov/llama.cpp development by creating an account on GitHub.

You can make regions of an image clickable with a number of techniques, from overlyaing an SVG that contains onclick JavaScript handlers all the way to using image maps. I love this idea. I started to think about how I could create an image of my bookshelves that you could click to learn more about each book I am reading. This would be more engaging than a traditional list of text.

Quickly understand inscrutable LLM frameworks by intercepting API calls.

Air Canada has been ordered to compensate a B.C. man because its chatbot gave him inaccurate information.

MindMac let you use ChatGPT efficient on macOS

Function Calling is awesome even though it’s a terrible name for the feature. Function calling doesn't call the function, but makes it possible for you to call a function. Sorry, posted this one before at a low resolution. If you think I am wrong about the OpenAI feature, share an example using the core OpenAI API and let me know. I will update the video right away. A few folks have tried, but everyone points at other products from OpenAI and not the one covered in this video. Happy to admit when I am wrong, but prove it first.

LLava 1.6 models - https://huggingface.co/liuhaotian Code for this vid - https://github.com/samwit/ollama-tutorials/blob/main/ollama_python_lib/ollama_scshot...

This blog is intended to be a place to share ideas and results that are too weird, incomplete, or off-topic to turn into an academic paper, but that I think may be important. Let me know what you think! Contact links to the left.