Send any concrete examples you have, the team is pushing very hard on model
Improvements.
AI
-
Team Pushing Hard on Model Improvements Concrete Examples
By
–
-
Hardware Expert Misunderstands ML and Open Source Movements
By
–
one thing that was clear was that it was written by a Semi analyst — with all of the biases and shortcomings and misunderstandings that you'd expect from someone who deeply understands hardware, somewhat misunderstands ML & products and poorly understands open movements.
-
Code Interpreter Progress: Excitement for Future Improvements
By
–
It’s remarkable how far you can go with code interpreter, I am so exited to see how much it improves over the next year.
-
Today’s AI Systems Are the Least Capable They’ll Ever Be
By
–
Reminder: todays AI systems are the least capable they will ever be in our lives. It’s an interesting thing to keep in mind as we all try to navigate the new world.
-
205+ Must-Try ChatGPT Prompts for 2023
By
–
205+ ChatGPT Must-Try ChatGPT prompts https://
godofprompt.ai/blog/205-chatg
pt-prompts-you-cant-live-without-in-2023
… #prompts #chatgptprompt #promptforbusiness #promptchallenge -

Current State of Generative Design in Drug Discovery
By
–
Where is generative design in drug discovery today? https://
bit.ly/3OMRrbq #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Long-term investments: painful now, worthwhile later
By
–
Long-term investments are extremely painful to make, but extremely worthwhile when they finally come to fruition.
-
LangChain Batch Interface Concurrency Optimization Guide
By
–
you can use the `.batch` interface (see here: https://
python.langchain.com/docs/guides/ex
pression_language/interface#batch
…) and set `max_concurrency` to determine the max concurrency (see example of that here: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/multi_vector#summary
…) -
LangChain Twitter Fine-tuning Example Repository
By
–
example of that here: https://
github.com/langchain-ai/t
witter-finetune
…