David v. Goliath: Small language models challenge Big Tech’s AI giants
Community-owned small language model project introduces a framework for incentivized data sharing, aiming to redefine AI development and user interaction
This is my explanation of what an AI agents is, explained as simply as I possibly can (and as I currently understand it):
An AI Agent is basically a software framework wrapped around (any) LLM, and then empowered to a) be able to make autonomous decisions and b) has access to different tools like;
- the ability to search the web for up to date information
- scan github repositories
- read folder structures
- produce files/ documents
- send e-mails etc.
Here's a metaphore: Your job is to hammer a nail into a plank, but you don't have a hammer or any other kind of tools. An LLM without an agent is sort of in the same position. Sure, it can probably somewhat get the nail in, but the result probably won't be very good.
Show MoreI made neat little progam that will scan any text file and fix typos based on the words I have defined and their correct replacements. As I've been building the wordlist, I've realized that what I'm actually building is a Hive Dictionary for ASR transcripts.
This significantly increases the quality of the transcripts, making it possible to generate higher quality data (like summaries) based on them.
You knew they were going to get in the game.
APPLE INTRODUCES CUTTING-EDGE AI MODEL SURPASSING GPT-4
#promptideas #llms
📚 Book summaries
Use Case: Someone recommends you a book that sounds interesting, but you know you'll never read it.
- Prompt: Write me a short summary of [Book X] by [Author Y].
- Example result: ⬇️
