I created a GPT enabled director for your board (just a proof of concept of course). The tool has no risk of greed or insider trading, just always on readiness to give you guidance on governance, strategy and compliance. Ping me if you want to test it out. #GPT #GPT3 #OpenAI #SEC
TOOLS
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Top Data Python Packages to Know in 2023
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Top Data Python Packages to Know in 2023: These Python packages would improve your data workflow. https://
kdnuggets.com/2023/01/top-da
ta-python-packages-know-2023.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=top-data-python-packages-to-know-in-2023
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Topic Modeling for Deeper Customer Feedback Analysis
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Gathering #CustomerFeedback? Great. But that might only tell part of the picture. Alteryx Intelligence Suite helps you dig deeper with tools like Topic Modeling. Read our blog by Sr. Data Scientist Viswanath Ravichandran to learn how: http://
ow.ly/2aRK50MHl9Y #CustomerData -
Text-to-Speech and Voice Synthesis Advances for Accessibility
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Thank you for sharing, would love to explore this more, excellent developments here #TextToSpeech #SpeechSynthesis #VoiceSynthesis #SpeechGeneration #dyslexia
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New Beam Deployment Template for LLM Chains and Agents
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New deployment template for http://
beam.cloud Lot's of people have been asking for easiest way to deploy chains/agents, and @mernit added a new deployment template for Beam! https://
langchain.readthedocs.io/en/latest/depl
oyments.html#beam
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LangChain from_string Method Simplifies LLMChain Construction
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Usability is everything, and @brucehammer came up with a great idea for making it easier to construct LLMChains. A `from_string` method parses out the variables and auto-creates a prompt Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/chains/generic/llm_chain.html#from-string
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Instruct Embeddings: Task-Tailored Text Embeddings from HuggingFace
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@huggingface Instruct embeddings Instruct embeddings are from an instruction-finetuned embedding model that can generate text embeddings tailored to any task, *just by providing the task description* A joint effort by seanaedmiston and @EnoReyes https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/embeddings.html#instructembeddings
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LangChain 0.0.76 Release: Instruct Embeddings and New Features
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Another big release! 0.0.76 main features: @huggingface Instruct embeddings (seanaedmiston, @EnoReyes
) ngram example selector (
@seanspriggens
) Other features include a new deployment template, easier way to construct LLMChain, and updates to PALChain Lets dive in -
Open Source Vizier: Distributed Experiment Management Platform
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Announcing Open Source Vizier, a standalone Python package designed for managing and optimizing experiments at scale in a reliable distributed manner and for developing and benchmarking algorithms for automated machine learning researchers. Learn more → https://t.co/8kGO9M6jv6 pic.twitter.com/Xvol7qGJ8p
— Google AI (@GoogleAI) 2 février 2023Announcing Open Source Vizier, a standalone Python package designed for managing and optimizing experiments at scale in a reliable distributed manner and for developing and benchmarking algorithms for automated machine learning researchers. Learn more → https://
goo.gle/40CoXoX -
MultiRay: Meta’s Efficient Platform for Large-Scale AI Models
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MultiRay is Meta’s platform for efficiently running large-scale, state-of-the-art AI models. By converting input to an embedding that’s cached & shared between users, MultiRay greatly reduces complexity & energy use.