JSON-based Agents With Ollama & LangChain Learn to implement a Mixtral agent that interacts with a graph database Neo4j through a semantic layer This work by @tb_tomaz is great for a few reasons: – Shows how to build an agent with an OSS model
– Shows how to build and use a
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Building JSON Agents with Ollama LangChain Neo4j
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Transform Business Data Into Actionable Insights With Alteryx
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Losing customers and revenue hurts. Treating that pain with manual processes is only a temporary bandage. Start healing with our DIY Data Webinar. See how easy it is to transform data into actionable insights with Alteryx and @Databricks
. Sign up: https://
ow.ly/nE4N50QGZmo -
Semantic Chunking: Three Methods for Document Splitting
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Semantic Chunking Semantic chunking using embedding distances between sentences to figure out how to split a document. A key decision is what threshold to split at. We now support three methods: Percentile
Interquartile Range
Standard Deviation Big shout out to -
AI Agents Creating Dynamic Dashboards with SQL and Real-Time Visualization
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Our most common AI agent built is an on-the-fly dashboard. Basically, you ask an AI agent to create a dashboard, and the LLM will generate SQL, run the query, and create a plot or on-the-fly real-time dash that you can play with. This provides insights, plots, and information
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50% Discount on ODSC East AI Mini-Bootcamp February 29 March 1
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On Feb. 29 and March 1, you can save 50% on #ODSCEast’s AI Mini-Bootcamp. Become an #AI Expert in 2024. Register now: https://
bit.ly/3RJDP2e by @_odsc ————
#DataScience #MachineLearning #DeepLearning #DataScientists #GenerativeAI #Coding #BigData #ComputerVision #NLProc #ODSC -
Human Preference Predictor Architecture and Results
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This is the architecture of my preference predictor. You can read more about how it works and the results here. https://
huyenchip.com/2024/02/28/pre
dictive-human-preference.html
… As always, feedback is much appreciated! -
Abacus AI Enterprise MLOps and LLMOps Platform Solutions
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#Statistics & #MachineLearning #infographics from @AbacusAI Learn about their incredibly COMPLETE Enterprise #MLOps & #LLMOps Platforms and Solutions at http://
abacus.ai
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#BigData #DataScience #AI #DeepLearning #DataScientists #LLMs #NeuralNetworks #NLProc #AIStrategy -
Embeddings Distribution and Decompression in AI Models
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I also wonder if taking the mean of several embeddings makes them “out of distribution” somehow im really not sure, about the muster question! I convinced myself it’s because embeddings are sort of “compressed” and it takes a lot of effort to decompress them
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GenerativeAI DataLLM: AI-Powered Data Insights and Query Generation
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The #GenerativeAI DataLLM from @abacusai uses #LLMs to generate insights from all your data sources! You pose questions about your data to the #chatbot — the #AI agent then generates code, runs queries, understands results, & presents answers. See
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Tutorial resources for building applications and data science with AI
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Data Science, Building Applications, Bot Creation Courses: 7. Build Applications: https://
zdnet.com/article/how-to
-use-chatgpt-to-create-an-app/
… 8. Data Science: Excel AI https://
youtu.be/b-cFv2DvEqE 9. Build a Complete App in 20 mins: https://
youtu.be/i_a9bqvqmzo