Unlock AI project success! Understand the problem, collect top-notch data, build powerful models, validate rigorously, deploy seamlessly, and maintain for sustained excellence. Explore details https://
cognilytica.com/a-step-by-step
-approach-to-running-ai-and-machine-learning-projects/?utm_source=dlvr.it&utm_medium=twitter
… #AIConsulting #ConsultingSuccess
MACHINE LEARNING
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Step-by-Step Guide to AI and Machine Learning Project Success
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NVIDIA GPUs: Revolutionizing AI with Parallel Processing Power
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What makes GPUs game-changers for AI? Discover how NVIDIA revolutionized #machinelearning with parallel processing, supercomputing and a broad software stack. https://
nvda.ws/4ab12S0 #AI #genAI -
Learn Programming and AI Through Hands-On Projects and Courses
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Learn programming and AI through practice. Use projects, courses, and tutorials from platforms like @huggingface
. Try @langchain & Vector Databases and LLM Training courses like the one from @activeloop and @towards_AI for hands-on skills. -
Getting Started with LLMs: Essential Learning Path for Beginners
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Beginners wanting to work with large language models (LLMs) should build a solid base in programming and AI using guides, then explore LLMs with Python skills through a selection of YouTube videos, podcasts, and articles tailored to various learning preferences.
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AI Technology Still in Infancy, Massive Potential Ahead
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Let that sink in for a minute. AI technology is still in the infancy of its capabilities.
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Verbalized confidence from RLHF doesn’t reflect pre-train uncertainty
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I think it’s wrong to assume that verbalized confidence from RLHF reflects pre-train uncertainty at all. E.g. the answer to “What is your gender?” (“None; I’m an AI.”) is both a priori unlikely and high-confidence compared to distribution of pre-train completions.
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Gemini Technical Report: TPU Training, Performance vs GPT Models
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Summary of Gemini's 60-page technical report. 1. Written in Jax and trained using TPUs. The architecture, while not explained in details, seems similar to Flamigo's. 2. Gemini Pro's performance is similar to GPT-3.5 and Gemini Ultra is reported to be better than GPT-4. Nano-1
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Evaluating Google’s Titan and PaLM Embeddings with MTEB Benchmarks
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Here I am trying to figure out how I can get MTEB scores for Titan and PaLM embeddings and doing GPU hour math and I'm not cool enough to get a technical report for a Big Boy Model from Google.
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Google adopts Meta’s approach training smaller models massive datasets
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And Google now running with Meta's approach of training smaller models with massive data sets. If you're curious about size, the open source RedPajamas open data set is 30T tokens. We can prob safely assume Google has access to much more.
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Gemini Enables Major Progress on AlphaCode Benchmark
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Amazing things can be built from Gemini. Super proud of the #AlphaCode team — quite incredible the progress on such hard coding benchmark!