OpenAI’s GPT-4 Turbo, with an extensive 128k context window, failed to revolutionise things due to the ‘Lost in the Middle’ phenomenon impacting information recall accuracy.
Amidst the grand TIME 100, some important individuals in AI found themselves missing from this illustrious list. Let’s find out who
AI benchmarks are flawed – with dataset contamination, biases and are often not representative of real world use cases. But what are the alternatives?
At the annual conference of the International Speech Communication Association, Meta presented more than 20 papers primarily focusing on NLP
Gorilla truly stands out by significantly reducing hallucinations and incorrect syntax when interacting with over 1,600 APIs
In many cases, uncensored models that do not go through the RLHF phase actually perform better than aligned models
The problem with defining copyright isn’t one that came with generative AI. Historically, with the advent of any new technology there has been a massive overhaul in the laws of copyright claims.
The papers cover important topics like machine vision, computational biology, speech recognition, and robotics
The recent Harvard study draws parallels between the previous tech revolutions in history and the AI wave.
If you look at all the startups getting funded lately, there is a secret recipe — having a co-founder out of either Stanford, MIT, or Harvard
LLaMA ranking below Falcon on the Open LLM Leaderboard was questioned by a lot of researchers
IBM is set to release its most powerful quantum processor, the 1,121-qubit Condor chip, later this year.
IBM’s latest breakthrough in quantum computing will probably catapult further developments in quantum space
Developers and AI companies have been obsessed with ChatGPT and are trying to build their own version of it, but will never be able to.
Will OpenAI go back to its initial roots of being ‘open’ with a proposed plan to release an open-source model?
Both emerged as hot commodities based on Meta’s LLaMA
Andrew Ng, the former head and co-founder of Google Brain questioned the defensibility of the data moat.
Everything from Stanford’s Alpaca to Dalai.
Alongside, the code, the model weights have also been made public.
LLMs establish link between science and humanities
The hysteria and hype around GPT-4, too, alarms Michael Irwin Jordan a bit.
Even though the enterprise was harnessing the powers of generative AI in 2022, if we talk about research, 2022 was definitely the year of protein fold predictions
Staying true to its name, FlexGen can be flexibly configured despite and even under constraints on hardware resources by summing up compute from GPUs, CPUs and disks
Check out these degrees from the top universities in the US that you can get sitting at home and take your career ten steps further
Giving the ability to machines to learn, reason, and plan without being trained or rewarded for failing or succeeding at a task is the ideal future of AI
Bitcoin mining in the aggregate employs an estimated 58.4% sustainable energy.
Google Research has developed two models that can synthesise 3D models, videos, and worlds using a single image as input.
Exo builds on the idea of user scheduling to externalise hardware mapping and optimisation decisions
The difference between these two approaches maps naturally to the heterogeneity of a typical compute cluster.
Tensorboard’s WhatIf is a screen to analyse the interactions between inference results and data inputs. I
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