Recommended Machine Learning Books for Experts and Newbies. #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
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Recommended Machine Learning Books for Experts and Beginners
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Machine Learning with Python Cookbook: Essential Guide
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The Machine Learning with Python Cookbook! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/ML-W-Python-Co
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Databricks Delivers 482% ROI Supporting AI and LLM Development
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Our customers saw a 482% ROI over three years, but how did they do it? Find out how Databricks is able to support the development of #AI and #LLMs, streaming data ingestion and transformation, and more! https://
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Open DAC 2023: 38M DFT calculations MOF materials dataset
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6/ Open DAC 2023 – introduces a dataset consisting of more than 38M density functional theory (DFT) calculations on more than 8,800 MOF materials containing adsorbed CO2 and/or H2O; properties for DAC are identified directly in the dataset.
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Emergence of Specialized Domain-Specific LLMs in Finance and Law
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In some very specific cases, we will also see some very specialized LLMs emerge – e.g. financeLLM or LegalLLM. These domain-specific LLMs that may require a lot of custom training, RLHF, and fine-tuning. /16
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Specialized Large-Scale Enterprise Use Cases with Custom Knowledge Bases
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Specialized large-scale use cases on custom knowledge bases This is the category of custom enterprise use-cases, where you may have several thousands of calls per day and the LLM needs to have an understanding of a custom knowledgebase or task. /13
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Google and Meta’s Data Advantage in LLM Development
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Meta enjoys the same advantage in terms of being able to use Facebook and Instagram data. This will translate to Google and Meta LLMs being able to serve and respond to general information queries better than LLMs from OpenAI or other start-ups. /4
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Google and Meta’s Competitive Advantage in LLM Training Data
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Google and Meta have a huge advantage here compared to anyone else. Google, because of it's search dominance can get away with crawling every website that wants their search traffic and can use YouTube and potentially Gmail data to train their LLMs. /3
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Future of LLMs: Data Constraints and Information Queries
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So what is the future of this technology and how is the space likely to evolve? Data Advantage and Information Queries LLMs will soon become data-constrained. Even with a large number of GPUs, most companies don't have access to new and unique sources of data. /2
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Essential Learning Resources for Data Science and Machine Learning
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End of this thread! If you are looking to learn more about
Data Science
ML/DL/AI
Analytics
Math & Statistics
Resources
LLMs
MLOps Then, Don't forget to follow me at @avikumart_ for upcoming posts