Category: AI

SecureAI Tools: Open source alternative to ChatGPT and ChatPDF-like AI tools

TheSmithy

https://github.com/SecureAI-Tools/SecureAI-Tools

https://news.ycombinator.com/item?id=38587052

We have been building SecureAI Tools — an open-source application layer for ChatGPT and ChatPDF-like AI tools.

It works with locally running LLMs as well as with OpenAI-compatible APIs. For local LLMs, it supports Ollama which supports all the gguf/ggml models.

Currently, it has two features: Chat-with-LLM, and Chat-with-PDFs. It is optimized for self-hosting use cases and comes with basic user management features.

Here are some quick demos:

  * Chat with documents using OpenAI's GPT3.5 model: https://www.youtube.com/watch?v=Br2D3G9O47s
  * Chat with documents using a locally running Mistral model (M2 MacBook): https://www.youtube.com/watch?v=UvRHL6f_w74

A deep-learning text-to-speech tool

TheSmithy

https://15.ai/

It is really amazing!

From the website:

A deep-learning text-to-speech tool for generating voices of various characters. The voices are generated in real time using multiple audio synthesis algorithms and customized neural networks trained on very little available data. This project demonstrates not only a significant reduction in the amount of audio required to realistically clone voices while retaining their affective prosodies, but also the feasibility of an on-demand, stable, and autonomously-improving speech synthesis application that aims to mimic a voice of limited availability. As of January 2021, this current iteration of the algorithm (v11.2.x) is the most cutting-edge in the fields of voice cloning and speech synthesis.

Berkeley offers its data science course online for free

TheSmithy

 

link to article

HN

The course — Data 8X  (Foundations of Data Science) — covers everything from testing hypotheses, applying statistical inferences, visualizing distributions and drawing conclusions, all while coding in Python and using real-world data sets. One lesson might take economic data from different countries over the years to track global economic growth. The next might use a data set of cell samples to create a classification algorithm that can diagnose breast cancer. (Learn more from a video on the Berkeley data science website.)

 

Thoughts after taking the Deeplearning.ai courses of Andrew Ng

TheSmithy

Between a full time job and a toddler at home, I spend my spare time learning about the ideas in cognitive science & AI. Once in a while a great paper/video/course comes out and you’re instantly hooked.

Andrew Ng’s new deeplearning.ai course is like that Shane Carruth or Rajnikanth movie that one yearns for!

Naturally, as soon as the course was released on coursera, I registered and spent the past 4 evenings binge watching the lectures, working through quizzes and programming assignments.

 

The article

Machine learning (Coursera)

Deep learning specialization (Coursera)