If you can dream it, you can make it happen.
Today ~50 AI founders, engs came together to put their dreams into action at the "Build the World you want to See" hackathon ran by @rkhkimx and @Jhuang0804.
This is one of the highest quality hackathons I have seen. Here are someā¦
This is the best tutorial weāve seen on building a full-stack RAG app that can stream intermediate results and have it show up as visual components on the UI.
@clusteredbytes created an awesome video and @github repo showing the full architecture - itās a lot more nuanced thanā¦
This is the best tutorial weāve seen on building a full-stack RAG app that can stream intermediate results and have it show up as visual components on the UI.
@clusteredbytes created an awesome video and @github repo showing the full architecture - itās a lot more nuanced than⦠https://t.co/LiOXfc777j
I *WAS* WRONG - $10K CLAIMED!
## The Claim
Two days ago, I confidently claimed that "GPTs will NEVER solve the A::B problem". I believed that: 1. GPTs can't truly learn new problems, outside of their training set, 2. GPTs can't perform long-term reasoning, no matter how simpleā¦
I *WAS* WRONG - $10K CLAIMED!
## The Claim
Two days ago, I confidently claimed that "GPTs will NEVER solve the A::B problem". I believed that: 1. GPTs can't truly learn new problems, outside of their training set, 2. GPTs can't perform long-term reasoning, no matter how simpleā¦
The complexity in building AI agents is actually making them work in real world environments!
Only 10% is about the LLMs and its reasoning ability
The rest is the painful heavy lifting in terms of code, data and memory.
Evaluation and ongoing monitoring is an added layer ofā¦
ā[Open-source AI] is really fundamental because it allows everyone to seize the technology, to diminish the fear of limited understanding or of not being qualified to use AIā - @RemiCadene š„š„
Great piece in @opinion by @parmy on the open-source landscape bloomberg.com/opinion/articlā¦
Devin killed Software Engineers officially?
Cognition introduced World's First AI software engineer, and people are already doing mind-blowing things with it.
Here're 13 wild examples
Q* Leaked info:
Source: An unspecified PasteBin.(L-I-N-K in next post)
Can't confirm the authenticity as it's from unknown source but you can have a look.
Q* is a dialog system conceptualized by OpenAI, designed to enhance the traditional dialog generation approach through theā¦
Claude-ception: Teaching Claude3 to prompt engineer itself
Claude3 Opus is excellent at prompt engineering.
@alexalbert__ recently laid out a nice workflow: write an prompt, run it on test cases, grade responses, let Claude3 Opus use grades to improve prompt, & repeat.ā¦
State-of-the-art RAG From Multiple Data Sources
Building SOTA RAG solutions is becoming increasingly important in the business world.
There are several challenging problems, including -
- how do disambiguate between similar-sounding documents
- how to rank disparate dataā¦
Here's my conversation with Sam Altman (@sama), his 2nd time on the podcast. We talk about the board saga, Elon lawsuit, Ilya, Sora, GPT-5, $7 trillion in compute, open source, and AGI. This was a truly fascinating conversation.
It's here on X in full, and is up on YouTube,ā¦
3 tips for prompting Claude on long context:
1. use xml tags
(eg <document> [insert text] </document>)
2. the "scratchpad" method:
ask it to pull verbatim quotes before answering
3. tell it to "read carefully" because you'll be asking it questions afterwards.
What else?
"Work" for humans is whatever technology can't do
Once technology automates more *current* work, then the definition will change
So we need to snapshot "economically valuable tasks" to 2024 tasks
The goalpost moves
"Work" for humans is whatever technology can't do
Once technology automates more *current* work, then the definition will change
So we need to snapshot "economically valuable tasks" to 2024 tasks
The goalpost moves
šš²šæš¼ š¦šµš¼š vs. šš²š š¦šµš¼šš Prompting
Every academic paper says...
ā use few shots prompting, always.
But I don't trust benchmarks.
ā So I made my own tests:
AI agents can (and should) handle complex account questions š§
Answering FAQs and L1 tickets is only the start.
Take a telecom customer:
Goal: update VPN settings.
Problem: this takes 3-4 additional actions, so technical reps get involved right away
⤵ļøā¤µļøā¤µļøā¤µļø
Claude 3 Opus has really changed the LLM game.
People are coming up with wild use cases that were not being done outside of GPT-4. There's a shift.
10 examples:
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