I have been arguing in small groups in and around the analytical community that human led multi-agent is the way to go. Would also love to see development (maybe by RF?) of an ability for a new type bot an analyst can empower with competitive advocacy.
RESEARCH
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Current LLM Myopia: Critical Perspective on Language Models
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probably not tbh, except maybe myopia wrt current LLMs
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GPTs Future Development Requires Multiple Iterations Before Breakthrough
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Maybe. But I don’t think the first iteration is “IT” yet. GPTs will likely have a future. I just think it will be a few iterations before they really get exciting.
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Community Rapidly Adopts PyTorch and JAX Backends
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Really impressive how quickly the community has been adopting the PyTorch and JAX backends!
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Legal Datasets and Market Economics for AI Training
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This ignores the fact that there are estimated hundreds of millions of public domain or permissive licensed images. Research could easily continue with those… Further, if there's a market for data the prices will drop quickly and incentivise the creation of legal datasets.
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Synthetic Data Generation Reduces PDE Learning Data Requirements
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A simple yet effective way to overcome the data requirements in learning PDEs. We can use the equations to generate synthetic data in the reverse direction and reduce the dependence on numerical solvers => meaning start with a potential solution and generate the input using PDE.
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Research vs Commercial Use: Legal and Regulatory Distinctions
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Research is inherently different to commercial exploitation. There are often explicit clauses in laws & regulations allowing that. Don't conflate the two. It's a slippery slope fallacy.
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Companies Building AI Models Legally: Business Decision Not Inevitability
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Well, if you agree it's a business decision then we've already corrected the "inevitable" part of your original statement — which was my intent. I don't understand your framing of the question. Companies large and small can build useful models legally.
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Machine Learning Replaces Polynomials as Primary Modeling Paradigm
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It’s weird to think of “deprecating” polynomials. That’s what ML is doing. For around 3 centuries polynomials have ruled as the de-facto go-to model for modeling natural phenomena. Now, automatically generated models will reign supreme for a few centuries.
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Follow for Data Science ML AI and LLMs Resources
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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