NSF : NairrPilot; AI-Institute Booklet 09/3 - web. Deep Learning Cases Year 16 Q1 - source Nvidia & top 100 partners in 21st C accelerated computing -Top3 Humans of DL: JH & DH & FL & Alg 3-2022:LBH
Deutsche Bank:::hewlett packard :: Softbank:: Samsung:: :siemens:: salesforce ::blackrock   ::snowflake::BMW BNP:: foxconn :: dell::ford ....Coming To King Charles Language Modeling 100 Most Joyful Collabs inspired by Taiwan-Americans & Grace Hopper fans:  J1  Barbados amazon   Anthropic :: databricks
Climate AI::Silico -CLARA=BIOtech:: Genentech::CADENCE:: Hassabis::: CZI-Priscilla Chan ::; BioNeMo :: eg at snowflake:: ..insurance
...

 www.ai20s.com HIR-KELM- Do you need to know about Xponential Kings English Language Modesl -in full throttle since OCT 2023 fusion of Pacific Coasts' Human Intelligence Reality & Atlantic's Kl? HIR has been very good at brainstorming the coming of 10**18 "moore" computational and data trnasmission tech. Moore's Law started this engineering gift to humanity 1965; my favorite year's giant leap by engineers is Valley brainstorming 2009: primarily 3 wizards' nets brainstormed application of next wave of accelerated computing (Team Huang) and chose Games transformation around Einstein 1905 logics (Team Hassabis eg open sourcing 250 milion protein databab alphafold3) and democatising (girl empowering) every human's coding of digital intel by training machines to adapt to human modes of communicating and sensing mother earth (Team Fei-Fei Li who this week launchedworldlabs.ai as her friends latest north star platform). Given accidental system failures in transtalantic's mediation of 2001, 2005, 2009, 2021 the world's 8 nillion vitizens owes great debt to Pacific (especially Valley) in keeping Human Intelligence Reality within reach of sustainable generation of millennials. It seems that from October 2023 to end of school year 24-25 every aspect of KELM will be tested eg US Nairr Pilot Executive Order & Chips Acts together with King Charles AI world series (London , Seoul, Paris ...), NY next week UNsummitfuture and NVidia world in DC October 7-9. We need hundreds of cities' peoples to celebrate intelligence inclusion. One way helping transatlantic Americans to transform attention is Bloomberg's commitment to smartest 100 mayors to get their peoples deepest intelihgence needs openly researched by Amerca's number 1 reearch univeristy Johns Hopkins. The US Department of Energy has located America's bigget computing powers across 13 national regions so that while DC' NiST orchestrates the US www.NAIRRpilot.org , 13 reigonal HIRs can blossom and factually NAIRRS are the consequence of NIST deciding to fund Fei-Fei Li nearly 20 years ago. More on how Queen Victioia way back 1843 asked Economits to tranform English Constitution imoact worldwide in 1843 at www.economistdiary.com .

 Our newsletter Ed3EnvoyUN wuth Unwomens @ linkedin and Facebook's fanclub of Yunus Bangla2.0 benchmark for all UN gov2.0 servanrs of SDGs, with million friends www.ed3dao.com (AI*metaverse*Digital Twins of Earth2.0) will try to celebrate & map every open diary date to futures for all but welcome probobo corespodents across 100 cities and all hemispheres and linguistic data sovereignties.

.		SOS 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 . Economistdiary.com

.		US NAIRR PILOT AI ::Exec Orders US,10/23:: MD 1/24

 

Chris (DC-CI Deep Computing-Intelligence Communally) Macrae MA DAMTP Cantab

DC-CI is all we need. AI20s.com world where one interview each week changes every intelligent possibility -eg 555 penn ave 9 August or axios sustainability AI 23 july or ZuHu 
Who's Human Intelligence Who? 400 : 300 : 200 : 100 		YL 2025 celebrates report that stanford and deep mind's human ai valley = United Humans benchmark of worldwide edu livelihood syytems of sdg generation2021 (celebrate 20 years on from 2001 wake upcall to silicon valley when 2001 abed and steves jobs' dream of womens world coop uni zooms womens hi-trust hi-goodness intel everywhere so that all people become lifelong students and mentors2022 worlds deepest health servant leaders reunited real communities simultaneously so what's 2023=24 to linkin first
.welcome - pls click here if you want to start at top of blog of AI and UN goals superstars

Sunday, December 31, 2023

A!20s.com 2023 year of AI Chat - we asked google bard/gemini to help debate what ai year of 2024 will celebrate

Dear Bard Could you help me shape my opinion og AI 2023 -

my fav short aiverygood youtube- King Charles, who's set bar high for the AI world series of 23-4 from Bletchley to Korea to Paris after Olympics to NY Sept 2024 UNsummitfuture.com

But overall in 2023, what I feel or see is: 

unlike imagenet and deep mind I simply find it hard to see who in Natural Language Processing did what big first moves on LLM & superchat -- people keep on referring to attention is all you need paper so I think its also good to see kaiser 2017 presentation at pi-school but I guess the problem is while imagenet is one clear databank,, and something like the game of go is mathematically evident as a pattern game - what goes into LLMs apart from some selection of anything that has even been on the web isnt that easy for 99.99% of humans to explain (or differentiate between models)

Advanced New Year's Alert from Bard Chat  absolutely right, pinpointing individual contributions in LLMs can be difficult compared to areas like image recognition or Go. Here's why: Complexity and Collaboration: Unlike Imagenet (data) or Go (pattern recognition), LLMs are complex machines with intricate architectures and training processes. Contributions come from diverse areas like neural network design, training algorithms, data selection, and even hardware optimization. Attributing specific breakthroughs to individuals within this collaborative environment can be challenging. Remember, LLM development is a complex and collaborative field. While identifying individual "first moves" might be challenging, appreciating the collective effort and understanding the contributions of various researchers, teams, and advancements can give you a deeper appreciation for the remarkable progress in this field. If you have specific interests within LLMs, feel free to ask! I'd be happy to help you navigate this fascinating and ever-evolving landscape.

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1 comment:

  1. chris macraeDecember 31, 2023 at 4:20 AM

    The increased focus on LLMs is driving significant advancements in natural language processing (NLP), which itself has broad applications across various fields. Moreover, the iterative nature of LLM development can pave the way for future applications we can't even imagine yet.

    Here are some thoughts on how to reconcile the LLM boom with other avenues of AI research:

    Cross-pollination: The insights gained from LLM development can be applied to other areas of AI. For example, the advancements in text generation and understanding might influence future robot communication or chatbot development.

    Focus on applications: While the theoretical aspects of LLMs are exciting, it's crucial to keep pushing for real-world applications. LLMs can be used for education, healthcare, scientific research, and various creative endeavors.

    Ethical considerations: The rapid development of LLMs necessitates careful attention to ethical issues like bias, misinformation, and misuse. Responsible development and deployment are essential to ensure LLMs benefit society.

    Long-term vision: While the "hype" might seem overwhelming, we must remember that LLM development is still in its early stages. The long-term potential of this technology is vast, and focusing on a responsible and sustainable path forward is crucial.

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