bytearray

7 ms·

1.
by bytearray 7mo ago
I understand the sentiment and I've been involved in software engineering in various roles for the last 25+ years. The thing that gives me hope is that never once in that time has the problem ever been that we didn't have more wor
2.
by bytearray 10mo ago
Nostalgia is a heck of a drug. :-) Happy Thanksgiving!
3.
by bytearray 2y ago
Last week OpenAI pushed out an AI agent orchestration framework called Swarm. I liked how lightweight it is compared to other open source LLM frameworks that I find overly complex. Unfortunately, OpenAI positioned it as an experimental fram
4.
Show HN: Microagent, a fork of OpenAI Swarm that supports Groq and Anthropic(github.com)
13 points by bytearray 2y ago|1 comments
5.
Understanding RAG Pipelines(docs.vectorize.io)
2 points by bytearray 2y ago|0 comments
6.
Building a production-ready RAG pipeline and eval platform(docs.vectorize.io)
2 points by bytearray 2y ago|0 comments
7.
Introduction to RAG Evaluation(docs.vectorize.io)
2 points by bytearray 2y ago|0 comments
8.
Create a RAG Pipeline with Pinecone(docs.vectorize.io)
13 points by bytearray 2y ago|0 comments
9.
What Is an LLM? A Simple Guide to Large Language Models(vectorize.io)
2 points by bytearray 2y ago|0 comments
10.
Optimizing Embedding Model Performance: A Technical Approach for RAG Pipelines(vectorize.io)
1 points by bytearray 2y ago|0 comments
11.
The Pros and Cons of Open Source Large Language Models(vectorize.io)
1 points by bytearray 2y ago|0 comments
12.
Want to Reduce RAG Hallucinations? Here's What to Focus On(vectorize.io)
1 points by bytearray 2y ago|0 comments
13.
by bytearray 2y ago
What are we appreciating exactly?
14.
The Growing Importance of Unstructured Data in AI Apps(vectorize.io)
1 points by bytearray 2y ago|0 comments
15.
Mastering RAG Evaluation: Strategies for Accurate Assessment(vectorize.io)
1 points by bytearray 2y ago|0 comments
16.
RAG Is Revolutionizing Customer Support: Real-Time Solutions for Complex Queries(vectorize.io)
1 points by bytearray 2y ago|0 comments
17.
Want Better RAG Outputs? Follow These 7 Steps to Success(vectorize.io)
1 points by bytearray 2y ago|0 comments
18.
by bytearray 2y ago
I would much rather they shut down.
19.
by bytearray 2y ago
Looks like Oracle employees have managed to beat the brigading protection on HN.
20.
by bytearray 2y ago
Same.
21.
by bytearray 2y ago
Do you have a link to the notebook?
22.
by bytearray 2y ago
Everyone should use the terminology I prefer.
23.
by bytearray 2y ago
Um, I think you mean 1337
24.
Build Better RAG Applications with Pinecone and Vectorize(pinecone.io)
1 points by bytearray 2y ago|0 comments
25.
by bytearray 2y ago
I had a similar realization when I was at Google. Someone made the observation that if Google had a one-in-a-million error, that meant it was happening 50-60 times per second.
26.
RAG vs. Fine Tuning: Which One Is Right for You?(vectorize.io)
2 points by bytearray 2y ago|0 comments
27.
Make the Most of Retrieval Augmented Generation(vectorize.io)
2 points by bytearray 2y ago|1 comments
28.
by bytearray 2y ago
What happens when the last coin is mined and there's no incentive for people to run the network of computers that validates transactions? It seems like at that point the value would go to zero.
29.
How to Get More from Your Pinecone Vector Database(vectorize.io)
1 points by bytearray 2y ago|1 comments
30.
by bytearray 2y ago
First off, thanks for doing something cool and releasing it as open source! Second, think the person 2 messages up has a valid point and I would like to offer the same constructive feedback. As someone who is doing a lot of React/Tailw

More ›