Yeah that's why the smaller model is doing the smaller tasks
MACHINE LEARNING
-
Accelerating ML Adoption: Enterprise Hidden Needs and Challenges
By
–
Max Williams, AI Platform Product Manager at Wells Fargo, shares insightful perspectives on accelerating ML adoption by addressing its hidden needs. Williams navigates the challenges that keep ML from broad adoption in the enterprise. https://
youtube.com/watch?v=paam_U
a28-0
… #enterpriseai -
TheProfessor: Advanced LLM Merging for Conversational AI and Scientific Applications
By
–
TheProfessor is a merge of #LLMs, created with help from @AbacusAI
's #GenerativeAI team. It can be used for many things with its conversational #AI, reasoning, scientific, medical, & mathematical skills interactive brainstorming: https://
huggingface.co/abacusai/ThePr
ofessor-155b
… -
DeepLearningAI Course on Efficiently Serving LLMs Launched
By
–
Excited to share the launch of the @DeepLearningAI course Efficiently Serving #LLMs developed w/ @predibase CTO @TravisAddair Implement a modern inference stack w/ caching, batching & #quantization Intro to #LoRA adapters
…and much more -
RAG Query Routing: Handling Multiple Datastores
By
–
RAG From Scratch: Routing Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is the 10th video in our series and focuses on query routing. Problem: We often have multiple possible datastores (e.g., different vectorDBs,
-
RAG Complexity: Query Understanding and Document Retrieval Challenges
By
–
RAG is difficult to get right because the system has to understand your query before retrieving the appropriate documents from the vector store. It’s a complex machine-learning problem and you have to solve for multiple parts: query re-writing, efficient retrieval, re-ranking,
-
EuroPython 2024 CFP Review: Python, AI, Data Engineering Tracks
By
–
Will be reviewing CFPs at @europython 2024 I have chosen these 4 tracks: – Python and Community – PyData: AI and LLMs – PyData: Data Engineering – Python Libraries and Tooling
-
New Python Data Analysis Book with Hands-on Challenges
By
–
Check out this great new book >> 50 Days of Data Analysis with #Python — The Ultimate Challenges Book for Beginners, with Hands-on Challenges using Pandas, NumPy, Matplotlib, Sklearn and Seaborn: https://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #DataScientists #Coding -
Winning with Data Science: A Handbook for Business Leaders
By
–
"Winning with #DataScience: A Handbook for Business Leaders" at http://
amzn.to/3GPeU74 by @howardsfriedman & @akshay_swa #BigData #Analytics #DataScientists #CDO #CMO #CTO #DataStrategy #AnalyticsStrategy #AI #MachineLearning #DecisionScience #Algorithms #DataEthics -
Daily Content on Python, Data Science, Machine Learning, and More
By
–
That's a wrap! If you are interested in: – Python
– Data Science
– Machine Learning
– Data Analysis
– MLOps
– NLP
– Computer Vision I'm sharing daily content over here, follow me → @Sumanth_077 if you haven't already!