Allowing different types of search in the vector DB chain Previously, the VectorDB QA chain only used similarity search to fetch documents You can now configure this to use `mmr`: max marginal relevance https://
github.com/hwchase17/lang
chain/blob/b9045f7e0df357d608700e91dc3039433f652d61/langchain/chains/vector_db_qa/base.py#L44
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DATA
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VectorDB QA Chain Now Supports Max Marginal Relevance Search
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Data Science Course for Business Decision Making
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Who can benefit from my @365datascience course?
— Bernard Marr (@BernardMarr) 31 janvier 2023
Designed for business owners, business executives, and #Data practitioners, this course is beneficial for anyone seeking to drive innovation and empower effective decision-making through DATA 🧠🙌
Sign up > https://t.co/vbqhGIeE1w pic.twitter.com/Jd8x9m3qMoWho can benefit from my @365datascience course? Designed for business owners, business executives, and #Data practitioners, this course is beneficial for anyone seeking to drive innovation and empower effective decision-making through DATA Sign up > https://
bit.ly/3pywJ25 -
Classified LIDA Point Clouds Technology Applications
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seems like classified LIDA point clouds to me
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Observability Difference with SolarWinds Head Geek
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The #Observability Difference #tech #networks With @solarwinds Head Geek Sascha Giese! #SaaS https://
youtu.be/n8AvdXofnLo @YouTube #shorts @techradiottt #tech #innovation #devops #AI #100DaysOfCode #CX #Apps #Analytics @DeepLearn007 #5G @EstelaMandela @YvesMulkers @mikeflache -
Databricks AutoML Integrates Feature Store for Enhanced Model Quality
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The right technology can accelerate your #ML outcomes That's why we're thrilled to announce a new #DatabricksAutoML capability! Now, you now easily join Feature Store tables with AutoML data sets to improve model quality. Learn more! https://
bit.ly/3JnGlHL -
NIST AI Risk Framework: Does It Create False Security?
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Will the new #NIST AI Risk Management Framework foster a false sense of security? Without data science processes and platforms for continuous improvement and shared best practices, Domino's Kjell Carlsson fears it will. @VentureBeat @sharongoldman
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When Machine Learning Works in Financial Markets
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Did you know machine learning models aren’t always great at predicting financial asset prices? Read what DataRobot’s Managing Director of Financial Markets Data Science says on when #ML works well (and when it doesn’t) in financial markets use cases. https://
bit.ly/3Wrg6TD -
COPY INTO Command Automates Data Ingestion to Delta Lake Lakehouse
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The COPY INTO command pulls new data into #Lakehouse automatically, without the need to keep track of which files have been processed! With a new way to copy into a schemaless #DeltaLake table, users can quickly ingest from cloud object stores
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Create Datasets with Bounding Box Annotation Using CVAT
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Learn to create Datasets using Bounding Box Annotation – With CVAT in less than 3 minutes!https://t.co/ZYfUbwIO8v#boundingbox #boundingboxes #cvat #dataset #datasets #computervision #ai #deeplearning #machinelearning #artificialintelligence pic.twitter.com/dMgLjaWzS7
— Satya Mallick (@LearnOpenCV) 30 janvier 2023Learn to create Datasets using Bounding Box Annotation – With CVAT in less than 3 minutes! https://
youtube.com/watch?v=o65dMN
iwJi8
… #boundingbox #boundingboxes #cvat #dataset #datasets #computervision #ai #deeplearning #machinelearning #artificialintelligence -
Lakehouse: The Perfect Data Platform Solution
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The perfect #data platform doesn’t exi— Yes, it does. It’s called #Lakehouse.