Overall, responses were pretty good, but highlights the importance for grounding! Check out the integration here: https://
python.langchain.com/docs/integrati
ons/chat_loaders/gmail
… We're doing a webinar with @GregKamradt on this topic this Wednesday – register here:
@hwchase17
-
LangChain Gmail Integration and Grounding Importance Webinar
By
–
-
Next as Potential Integration Partner for AI Tools
By
–
Next – a potential integration partner Also an enthusiastic response, but uses the terminology "plug-in" which I usually don't
-
Finetuned Model Customer Interaction and Hallucination Challenges
By
–
First up, a potential customer The finetuned model nicely responds and tries to find to set up a meeting – great! Note that Monday/Tuesday being good times was completely hallucinated! Finetuning alone wouldn't be enough for this to work for real – would need to hook up to gcal
-
Gmail ChatLoader Integration for Email Model Finetuning
By
–
Over the weekend, I added a GMail ChatLoader integration to @langchain
, to help anyone to finetune models on their emails I evaluated it the old fashioned way – the eyeball test Here's how it did responding to various types of inquiries (VC, customer, integration, @swyx
) -
LangSmith Enables App Development Beyond Python and JavaScript
By
–
If you're building apps not in Python/JS, you can still use LangSmith!
-
Improving SQL Question-Answering Systems with LangChain
By
–
We're continuing to do a deep dive on improving question-answering over SQL data Some initial improvements by @fpingham have already made it much more resilient to questions involving text (song titles, artist names, etc) Access it here: https://
sql-langchain.streamlit.app -
Timeline-Based Data Structure for Personal Event RAG Queries
By
–
Just saw a talk by @AlonHalevy about using a **timeline** based data-structure to do RAG. Really useful for querying over personal events Need to dive into this more! Am always excited to see novel data-structures Repo here: https://
github.com/facebookresear
ch/personal-timeline/tree/main
… -
Fine-tuning LLMs for personalized voice synthesis webinar
By
–
I had a lot of fun hacking on this! Will share more details on this during our webinar on fine-tuning LLMs to talk in your voice this Wednesday!https://t.co/TjYFfy5Ht5 https://t.co/CJKCLM4uWR
— Harrison Chase (@hwchase17) 27 août 2023I had a lot of fun hacking on this! Will share more details on this during our webinar on fine-tuning LLMs to talk in your voice this Wednesday! https://
crowdcast.io/c/lzafugqtyata -
Creative embedding generation techniques for document processing
By
–
The cool thing about this is this can work with arbitrary ways of generating different embeddings for a document E.g. by splitting into smaller chunks, creating a summary of the document, generating hypothetical questions What other creative ways could we do this?
