A Comprehensive Guide to OLS Regression: Part-1: Introduction Ordinary Least squares is an optimization technique. OLS is the same technique that is used by the scikit-learn LinearRegression class and the numpy.polyfit() function behind the scenes.… https://
analyticsvidhya.com/blog/2023/01/a
-comprehensive-guide-to-ols-regression-part-1/?utm_source=dlvr.it&utm_medium=twitter
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MACHINE LEARNING
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OLS Regression Guide Part 1: Introduction and Fundamentals
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Top 7 Tech Innovations to Watch for in 2023
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These are the top 7 tech innovations to look out for in 2023:
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Starting YouTube Series on Open Source Machine Learning Tools
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Yeah there a lot of great open source tools Sumit, especially in ML. I am soon starting a youtube series called Open Source Machine Learning to cover them all.
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Information about LLaMA, open language model
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More info on LLaMA here: https://research.facebook.com/publications/llama-open-and-efficient-foundation-language-models/ …
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AMECA Robot Demonstrates Real-Time AI Conversation with Speech Recognition
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This #ameca demo couples automated speech recognition with GPT 3
— Pascal Bornet (@pascal_bornet) 25 février 2023
The output is fed to an online service which generates the voice and visemes for lip sync timing. Nothing in this video is pre scripted
Credit:Engineered Arts#artificialintelligence #nlp #llm #ai #machinelearning pic.twitter.com/mRYx46FFDAThis #ameca demo couples automated speech recognition with GPT 3 The output is fed to an online service which generates the voice and visemes for lip sync timing. Nothing in this video is pre scripted Credit:Engineered Arts
#artificialintelligence #nlp #llm #ai #machinelearning -
RLHF Adoption Accelerates Across Industries for Aligned AI
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Today, a senior military official asked me about reinforcement learning with human feedback (RLHF). This is awesome—the widespread adoption of RLHF across every industry and use case is critical for the safe, aligned, and useful deployment of AI and LLMs. RLHF is taking over!
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TinyML: Embedding Machine Learning in Smaller Systems
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How is TinyML Used for Embedding Smaller Systems?: Introduction There are many emerging trends in the tech world, and Machine Learning is one of them. Machine Learning is a subset of Artificial Intelligence where a computer learns from data and analyses… https://
analyticsvidhya.com/blog/2023/01/h
ow-is-tinyml-used-for-embedding-smaller-systems/?utm_source=dlvr.it&utm_medium=twitter
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10B Parameter Models Vastly Underestimated in Capacity
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It's increasingly clear we've severely underestimated how much you can pack in a 10B parameters model
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Deep Learning Models vs Systems: Bridging the Complexity Gap
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Building a Deep Learning model is only a fraction of the work. Building an entire Deep Learning System is much more complex and takes time. Closing this gap is precisely what @abacusai does.
