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
@abacusai
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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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LLM Evolution: Will Large Language Models Become Commodities?
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The evolution of LLMs over the next couple of years – Will the tech become a commodity and commonplace? Not a single day passes by without someone announcing a new LLM, and foundation models get replaced by next-generation models in a matter of months. /1
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Mistral AI’s 7B Model Outperforms Llama-2 13B in Benchmarks
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Mistral AI released its first LLM – its 7B model outperforms Llama-2 13B in every benchmark! Open source means more competition, more choice, more transparency, and more developer interest. This LLM should be available as part of the @abacusai ChatLLM solution by next week.
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Abacus AI Launches 70B Model with 32k Token Context
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We launching our 70B model with a context size of ~32k tokens. It outperforms comparable models in several benchmarks. We are closing the performance gap with closed-source models! More info:
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Free Machine Learning Course from Stanford by Andrew Ng
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A free Machine Learning course from Standford taught by Andrew Ng. You'll learn: • Linear/Logistic regression
• Decision Trees
• KNN
• Support Vector Machines
• Neural Networks
• Naive Bayes
• Gradient Descent And much more. Link: https://
youtube.com/playlist?list=
PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU
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Advanced AI Learning Path: Image Generation to Transformer Models
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5 Introduction to Image Generation https://
cloudskillsboost.google/course_templat
es/541
… 6 Encoder-Decoder Architecture https://
cloudskillsboost.google/course_templat
es/543
… 7 Attention Mechanism https://
cloudskillsboost.google/course_templat
es/537
… 8 Transformer Models and BERT Model https://
cloudskillsboost.google/course_templat
es/538
… 9 Create Image Captioning Models https://
cloudskillsboost.google/course_templat
es/542
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Four Google Cloud Courses on Generative and Responsible AI
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1. Introduction to Generative AI
https://cloudskillsboost.google/course_templates/536 2. Introduction to Large Language Models
https://cloudskillsboost.google/course_templates/539 3. Introduction to Responsible AI
https://cloudskillsboost.google/course_templates/554 4. Generative AI Fundamentals
https://cloudskillsboost.google/course_templates/556 -
Google Releases 9 Free AI Courses for Beginners
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If you want to start learning AI from the very beginning: Google released 9 free courses covering some of the most critical topics in AI. And they start from scratch. Here is the list and links: