My favorite webinars are always when we have real builders on. There's a lot of lessons you learn by actually putting applications into production! That's why I'm so excited to have @Delphi_HQ on next week's webinar!
@hwchase17
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Automating User Feedback Through Data Tracking
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Often times you don't get feedback from your users But if you're tracking everything, you can try to automate it somewhat!
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Tabular Data Retrieval: Deep Dive Webinar
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Tabular Data Retrieval Webinar Retrieval of tabular data has a lot of subtleties. I'm very excited to deep dive on this with @the_cube_dev and @Delphi_HQ next week!
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Audio Data Analysis with AssemblyAI Document Loader
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There's a lot of really cool data in audio files Big shout out to @patloeber and our friends at @AssemblyAI for adding a document loader This allows you to easily pull in and analyze (summarize, question) audio data!
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AI Ecosystem Resources and Partner Collaboration Announcement
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There are some great resources here! And crazy to see this amount of material over past few weeks Shout out to awesome partners @GregKamradt @pinecone @anyscalecompute @AssemblyAI
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Masking PII in Language Models with LangChain Expression Language
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This is great stuff from @MaksOpp and @deepsense_ai Let's you easily mask PII before passing it into the language model – and with LangChain Expression Language is very clear/easy how to plug that into your chain
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Using LLMs for Automatic Response Grading and Evaluation
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im assuming you mean use an LLM to grade responses automatically? @WHinthorn may some stuff coming
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Return Intermediate Steps Configuration for LLM Chains
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For most chains you should be able to pass ‘return_intermediate_steps=True’
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LangSmith Monitoring: Tracking App Usage and User Experience
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We launched monitoring in LangSmith today I've mainly been using for two use cases: Track usage – are people actually using my app? / Track feedback – are changes I introduced leading to a better user experience? Can you spot when we upgraded our app to use an agent?
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Fine-tune Models to Replace GPT-4 Using LangSmith Data
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This is really useful for finetuning models to replace GPT-4 at particular points in your system Log all data flowing through your app to LangSmith Export with some filter (all runs, all runs with positive feedback, etc) to a dataset Finetune a model on this data!