New release (0.0.79) with new features! @huggingface inference endpoint integration SQLDatabase chain # of rows Google Drive and Obsidian data loaders Saving/loading of FAISS vectorstore And also lots of small quality of life bug fixes/doc improvements
TOOLS
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Hugging Face Inference Endpoint Integration in LangChain
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@huggingface inference endpoint integration If you've deployed your Hugging Face model to an inference endpoint, you can use it easily in LangChain! s/o @EnoReyes for adding Inference Endpoint Docs: https://
huggingface.co/inference-endp
oints
… Code: https://
github.com/hwchase17/lang
chain/blob/master/langchain/llms/huggingface_endpoint.py
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Abacus AI: Complete MLOps Platform for End-to-End Solutions
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Sounds interesting but don't know where to start? Check out this end-to-end MLOps platform by @abacusai https://
abacus.ai -
MLOps Enables Data Scientists to Focus on Model Development
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Another important aspect of MLOps is that it enables data scientists to focus on what they do best – developing models and algorithms – while IT takes care of the operational aspects of model deployment and management.
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MLOps ensures secure reliable scalable model deployment
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This improved collaboration between data science and IT also helps to ensure that models are deployed in a way that is secure, reliable, and scalable. For ex, MLOps practices can help to prevent security breaches and ensure that models continue to perform well in production.
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MLOps Enables Efficient Collaboration Between Data Scientists IT
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One of the key benefits of MLOps is that it enables data scientists and IT professionals to work together more efficiently and effectively. For example, MLOps practices can help to ensure that data scientists have access to the right infrastructure and tools.
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MLOps: Bridging the Gap Between Data Science and IT Teams
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Do you ever feel like your data science and IT teams are speaking different languages? That's where #MLOps comes in! By standardizing workflows and processes, MLOps can bridge the gap between these two critical teams. (A thread)
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Transformers for Enterprise Use Cases Course Launch
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Very pleased to collaborate with @get_sphere and teach the "Transformers for Enterprise Use Cases" course to a new cohort! Kicking off on March 20th, learn from experts how to apply the Hugging Face Ecosystem to your business use cases!
Join us https://
getsphere.com/cohorts/transf
ormers-for-enterprise-use-cases?source=Instructor-TwitterPost-262023-hf_social
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Paying for ChatGPT: Understanding the Business Model
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Turns out, you are just paying for chatting with ChatGPT
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Google Unveils Bard: New AI Competitor to ChatGPT with Real-Time Web Access
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Get ready for some intense competition in the #ChatGPT world! @Google just unveiled #Bard, their new conversational AI service with access to the latest web info. Be prepared for answers even about current events. #GenerativeAI #ArtificialIntelligence http://
ow.ly/NTpE50MLH1N