Fitting that into the prompt size limit for GPT-3 might be tricky but I bet someone could figure out how to do that
LLMS
-
GPT-3 SQL ORM Integration: Practical Code Generation Examples
By
–
I think this will work: SQL: ORM: Django
SQL: ORM: ActiveRecord
SQL: ORM: SQLAlchemy
SQL: ORM: Then hit go. https://
simonwillison.net/2022/Jun/5/pla
y-with-gpt3/
… -
Building Systems on GPT-3 with Minimal Example Queries
By
–
I wouldn't be surprised if you could build exactly that on top of GPT-3 using a dozen or so lines of example queries
-
The Emerging Market for AI-Driven Plagiarism Detection in Universities
By
–
Spoke with multiple college students who use GPT-3 to write rough drafts of all of their papers. Which begs the question… Who will make the “AI plagiarism” checker for universities? Big opportunity.
-
LLMs Face Unclear Use Cases Like Previous NLP Technologies
By
–
The problem with LLMs is what it's always been with NLP: if people can't tell what they're good for and not, they'll wind up not using them for much.
-
Recent LangChain Updates and New Features
By
–
A lot of stuff has been added to LangChain recently For a good thread on how we're thinking about it, see the below And of course, check out all the additions at https://
github.com/hwchase17/lang
chain/
… -
GenSLMs trained on full sequence length in under one day
By
–
"To enable training of the larger models on the full sequence length (10,240 tokens), we leveraged… CS-2… and obtained GenSLMs that converge in less than a day.” ACM article on our award for this research: https://
hubs.li/Q01s-1f40 Full article: https://
hubs.li/Q01s-0Yy0 -
Generative AI Models and Search Engine Citations
By
–
Generation Engines w/ Search Engine Citations?
-
AI System Malfunction Responds Only With 42
By
–
anyway its gonna be awhile, seems broken, just says "42" to every prompt?!
-
Six Most Impactful Language Models in History
By
–
Six of the most impactful language models in history: 1. BERT
2. BART
3. T5
4. GPT-3
5. LaMDA
6. Switch Transformers v/
@Saboo_Shubham_