Top 10 Machine Learning Algorithms
Check out the article http://
bit.ly/3iTNIvq
By @ingliguori #AI #ML #DataScience #DataScientist #MachineLearning #chatgpt #gpt3 #NeuralNetworks #DeepLearning #BigData #Analytics #PyTorch #Python #RStats #TensorFlow #Coding #100DaysofCode
CODE
-
Top 10 Machine Learning Algorithms Guide and Tutorial
By
–
-
Predibase and Ludwig: Build ML Models in Minutes
By
–
We can’t help you run a marathon, but we can help you conquer the rest of your #DataScience resolutions. Predibase and #opensource @ludwig_ai make it easy to build and deploy state-of-the-art #ML models in minutes. Watch our recent webinar to learn more: https://
lnkd.in/gP9shAqN -
Essential Skills for Learning: Programming, Tensors, Math Basics
By
–
solid programming, familiarity (/willingness to learn) tensor processing (numpy or torch tensor), small few concepts from basic math and statistics (e.g. function gradient, gaussian distribution, etc.). I'll list this out on the page, ty.
-
Key Facts About ChatGPT and Its Impact
By
–
Some facts about #ChatGPT
Via @ingliguori #softwaredevelopment #FutureOfWork #Python #javascript #html5 #DataScience #AI #DeepLearning #MachineLearning #DEVCommunity #100DaysOfCode #flutterdev #NeuralNetworks #DigitalTransformation #DataScientists #artificalintelligence #chatbot -
Return Source Documents in VectorDBQA Chain
By
–
Return source documents – Francisco Ingham You can now return documents used to generate the final answer in the VectorDBQA chain. Useful for getting more clarity on what was used to construct the answer Docs: https://
langchain.readthedocs.io/en/latest/modu
les/chains/combine_docs_examples/vector_db_qa.html#return-source-documents
… -
LangChain VectorDBQA Chain Types Integration Methods
By
–
Chain types There are many methods for combining documents (stuff, map reduce, map rereank, refine) It is now SUPER easy to choose your favorite one to use in VectorDBQA chains! Docs for QA: https://
langchain.readthedocs.io/en/latest/modu
les/chains/combine_docs_examples/vector_db_qa.html#chain-type
… Docs for QA with sources: https://
langchain.readthedocs.io/en/latest/modu
les/chains/combine_docs_examples/vector_db_qa_with_sources.html
… -
Pinecone Wrapper Updates: Namespace Support and Similarity Scores
By
–
Updates to @pinecone wrapper – @SmitShah_11 iocuydi @iamraymondyuan – Namespace support
– from_index classmethod (for existing indices)
– method to return similarity scores along with documents Hopefully making it easier to use Pinecone indices! -
LangChain v0.0.61 Release: Vector DB and WolframAlpha Improvements
By
–
v0.0.61 WolframAlpha improvements – @nickscamara_ Doc improvements – Marc Green Making it easier to work with Vector DBs Improve @pinecone wrapper – @SmitShah_11 iocuydi @iamraymondyuan Return source documents – Francisco Ingham
Chain types -
Build AI Applications with Cohere API and Basic Programming
By
–
All you need to build these interesting applications is access to Cohere's API and basic knowledge of programming. Don't believe me? Try it yourself https://
dashboard.cohere.ai/welcome/regist
er?utm_source=influencer&utm_medium=social&utm_campaign=shubham
… -
Automated IT Ticket Triage with Cohere Classification
By
–
3. Automated IT Ticket Triage With Cohere's classify endpoint, you can automatically classify IT tickets with very high accuracy by just providing 5-10 samples per class. Try it yourself https://
os.cohere.ai/custom-preset?
ref=Automated-Ticket-Triage-qc2wqz&e=classify
…