Yes, and the outcomes of task-based analysis of jobs is also changing, since the set of tasks that agentic workflows can do is much larger than the set of tasks that non-agentic LLMs can do!
@andrewyng
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AI Agentic Workflows Drive Major Progress Beyond Foundation Models
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I think AI agentic workflows will drive massive AI progress this year — perhaps even more than the next generation of foundation models. This is an important trend, and I urge everyone who works in AI to pay attention to it. Today, we mostly use LLMs in zero-shot mode, prompting
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Building Optimized LLM Inference Systems Efficiently
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Learn how to build an optimized LLM inference system from the ground up in our new short course, Efficiently Serving LLMs, built in collaboration with @predibase and taught by @TravisAddair.
— Andrew Ng (@AndrewYNg) 18 mars 2024
Whether you're serving your own LLM or using a model hosting service, this course will… pic.twitter.com/tyCVsi4SKXLearn how to build an optimized LLM inference system from the ground up in our new short course, Efficiently Serving LLMs, built in collaboration with @predibase and taught by @TravisAddair
. Whether you're serving your own LLM or using a model hosting service, this course will -
Knowledge Graphs for RAG: Advanced Data Retrieval Course
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Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs… pic.twitter.com/vdJDrldsLE
— Andrew Ng (@AndrewYNg) 13 mars 2024Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs
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AGI Definition Confusion: Why Technical Precision Matters
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The definition of AGI I use is "AI that can perform any intellectual task that a human can." But a few teams have come up with alternative definitions, so its meaning has become muddied and confusing, I now less it less esp in discussions that need technical precision.
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Emergent LLM Abilities: Gradual Path to AGI
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When we get to AGI, it will have come slowly, not overnight. A NeurIPS Outstanding Paper award recipient, Are Emergent Abilities of Large Language Models a Mirage? (by @RylanSchaeffer
, @BrandoHablando
, @sanmikoyejo
) studies emergent properties of LLMs, and concludes: "… -
Hugging Face Open Source Models Course Launch
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New short course: Open Source Models with Hugging Face 🤗, taught by @mariaKhalusova, @_marcsun, and Younes Belkada! @huggingface has been a game changer by letting you quickly grab any of hundreds of thousands of already-trained open source models to assemble into new… pic.twitter.com/7hhOq19sd3
— Andrew Ng (@AndrewYNg) 6 mars 2024New short course: Open Source Models with Hugging Face , taught by @mariaKhalusova
, @_marcsun
, and Younes Belkada! @huggingface has been a game changer by letting you quickly grab any of hundreds of thousands of already-trained open source models to assemble into new -
LLM Competition Drives Innovation and Application Development
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There're now multiple, very well resourced companies that "can't afford to lose" spending billions to compete to build better LLMs. I expect this competition to go on for years. This is going to great for innovation, and also for everyone building applications on top of LLMs.
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Meta Llama 2 Prompt Engineering Short Course Launch
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New short course: Prompt Engineering with Llama 2, built in collaboration with Meta @AIatMeta, and taught by @asangani7! Meta's Llama 2 has been game-changing for AI. Building with open source lets you control your own data, scrutinize errors, update (or not) the models as you… pic.twitter.com/VVCkl93yzU
— Andrew Ng (@AndrewYNg) 28 février 2024New short course: Prompt Engineering with Llama 2, built in collaboration with Meta @AIatMeta
, and taught by @asangani7
! Meta's Llama 2 has been game-changing for AI. Building with open source lets you control your own data, scrutinize errors, update (or not) the models as you -
Google Gemini Faces Criticism: Leadership Shows Support
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To all my Google friends: I know this week has been tough with a lot of criticism about Gemini's gaffes. Just wanted to say I love all of you and am rooting for you. I know everyone means well, and am grateful for your work & eager to see where you next take this amazing tech!