Prototype and productionize AI features with a modern JS/TS stack

A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.

Good (negative) review of Perplexity.

LlamaParse is the world’s first genAI-native document parsing platform - built with LLMs and for LLM use cases.

A guide on how to convert .epub e-books into high-quality audiobooks narrated by neural text-to-speech

this puts even state-of-the-art current AI systems in a position where professional responsibility dictates the avoidance of them in any serious application.

Notes on the Practical Wisdom of AI Use

Prompt, run, edit. Create web applications with AI help.

Still, I have reservations about AI in radiology, particularly when it comes to education. One of the main promises of AI is that it will handle the “easy” scans, freeing radiologists to concentrate on the “harder” stuff. I bristle at this forecast, since the “easy” cases are only so after we read thousands of them during our training—and for me they’re still not so easy! The only reason my mentors are able to interpret more advanced imaging is that they have an immense grounding in these fundamentals.

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