Using Large Language Models in the DoD Context

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Dive deep into the world of Large
Language Models (LLMs) with a special focus on their relevance and application
within the Department of Defense (DoD). This comprehensive video serves as an
essential primer for DoD personnel, shedding light on the forefront of AI
technology, its potential uses, and the critical guidelines for its application
within defense mechanisms.
Highlights:
ChatBot Arena Insights: Discover which LLMs are leading the way in
innovation and how they're ranked in the competitive landscape.
DoD Guidelines & Cautions: Learn about the interim guidance
issued by the Chief Digital and Artificial Intelligence Office (CDAO) for
LLM usage within DoD activities and why adherence is crucial.
LLM Training & Inference: Gain insight into the process of
training large language models, including the resources and technologies
involved.
Intrinsic Nature of LLMs: Language “understanding”, empirical
nature, emergent properties, in context learning, hallucinations, elementary
prompt engineering to include chain of thought.
Beyond LLMs: Explore other transformative AI technologies like
AlphaFold and their implications for the future of DoD operations.
Practical Demonstrations: Follow along with hands-on demonstrations
on accessing and interacting with top-ranking models for both personal and
official use, adhering to DoD guidance.
Future Outlook: Peek into what the future holds for DoD's engagement
with these advanced AI models and the strategic advantages they offer.
What You Will Learn:
The architecture and training processes of LLMs.
Guidelines for DoD personnel on using LLMs safely and effectively.
The evolving landscape of AI technologies and their potential impact
on defense strategies.
How to practically engage with and leverage LLMs for learning,
development, and operational purposes.
This video is a must-watch for DoD members keen on understanding and navigating the landscape of artificial intelligence and large language models. Whether you're new to LLMs or looking to deepen your knowledge, this video provides valuable insights and guidance tailored to the unique needs of defense personnel.
Important: While this video offers a general overview and practical tips for engaging with LLMs, viewers are reminded to consult the official CDAO interim guidance for comprehensive details and compliance requirements for DoD use.
Please first watch these videos,
1) “Insights into the Fundamentals of
a Simple Neural Network”; media.dau.edu/media/t/1_m0aa4...) "How AI Learns to Talk"; media.dau.edu/media/t/1_vje3g...
3) “How ChatGPT Works in Inference”; media.dau.edu/media/t/1_8bcxvf7y
The link to a course playlist of DAU
recommended AI courses is: dau.csod.com/ui/lms-learner-p...
You will need a DAU account to access
these resources. If you are a DoD member and need a DAU account and you can
request one here: www.dau.edu/faq/p/New-DAU-Acc...
Other promised links:
ChatBot Arena: huggingface.co/spaces/lmsys/c...
Andrej Karpathy’s “[1hr Talk] Intro to Large Language Models”: • [1hr Talk] Intro to La...
Barron Stone’s “There is No Spoon: U.S. Air Force Digital
Acquisition Strategy (Summary)”: • There is No Spoon: U.S...
Additional References can be found in the comments.

Опубликовано:

14 фев 2024

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@defenseacquisitionuniversi5631 5 месяцев назад

Additional References used for creating this video: Llama 2: Open Foundation and Fine-Tuned Chat Models; Touvron et al; arxiv.org/pdf/2307.09288.pdf Geoffrey Hinton and Andrew NG - Does Ai Understand - AGI; ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-6-a33BI6fnk.htmlsi=Kua7XRDxo9G_0VL8 The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI; ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE--9cW4Gcn5WY.html The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A“; Berglund et al; arxiv.org/pdf/2309.12288.pdf Survey of Hallucination in Natural Language Generation; Ziwei Ji et al; arxiv.org/pdf/2202.03629.pdf SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection…; by Manakul et al; arxiv.org/pdf/2303.08896.pdf Large Language Models are Zero-Shot Reasoners; Kojima et al.; arxiv.org/pdf/2205.11916.pdf Training Compute-Optimal Large Language Models; Hoffmann et al; arxiv.org/abs/2203.15556 GPT 4 Technical Report; OpenAI; arxiv.org/pdf/2303.08774.pdf Emergent Abilities of Large Language Models; Wei et al; arxiv.org/pdf/2206.07682.pdf Language Models are Few-Shot Learners; Brown et al; arxiv.org/pdf/2005.14165.pdf Voyager: An Open-Ended Embodied Agent with Large Language Models; Wang et al; arxiv.org/abs/2305.16291 AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation; Wu et al; arxiv.org/pdf/2308.08155.pdf Multimodal Learning with Transformers - A Survey; Xu et al; arxiv.org/pdf/2206.06488.pdf Small Language Model Meets with Reinforced Vision Vocabulary; Wei et al; arxiv.org/pdf/2401.12503.pdf Vary-toy demo; Wei et al; varytoy.github.io/ The capabilities of multimodal AI | Gemini Demo; ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-UIZAiXYceBI.htmlsi=dGZcn2YlUlZeqcjv America’s Cup Sailing: Using AI to make Emirates Team New Zealand fly; McKinsey & Company; ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-uXihkPI-LyM.html Dr. Will Roper | The Urgent Need for The Pentagon to Unlock AI’s Potential; ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-MadVS_IE0KM.htmlsi=kVjyneK1WeiPRPlX Topic Index: 01:08 CDAO Interim Guidance & LLM Cautions 02:23 Chatbot Arena Leaderboard 04:26 Overview of LLM Training & Resources 08:48 Training LLMs to Predicting the Next Word 11:08 Do These Models Really Understand? 12:45 Lack of Theory; Product of Trial & Error 13:18 Empirical and Strange Nature of LLMs 14:47 Hallucinations 17:05 Chain of Thought (CoT) Prompting 17:47 Suggested ChatGPT Custom Instructions 18:58 Bigger is Better and Emergent Properties 20:06 Its Not Just Size that Matters 20:49 In Context Learning 22:53 Voyager: LLMs are Problem Solvers 23:54 AI Agents and AutoGen Framework 24:32 Custom GPTs; Tailoring LLMs for Specific Use 25:26 Tool Users; Glimpses of Problem Solvers 26:01 Demo Tool Use, Problem Solving and CoT 27:12 LLMs are Quickly Becoming Multi-Modal 27:35 Transformers Good for More Than LLMs 28:22 Multi-Modal LLMs; Early & Late Fusion 30:23 More than Chatbots; Are LLMs Future CPUs? 31:15 AI & Model Based System Engineering 33:32 Using AI Agents with Simulators

@laulaja-7186 5 месяцев назад

Wow nice content!

@nesdi6653 5 месяцев назад

@starruncorporation6624 5 месяцев назад

Dod is procurement of engineering goods. Defense acquisitions documentation ton of it can be automated using Microsoft AI but there are other operational aspects that may totally eliminate the big documentations that the entire SAM is reliant on more than the real good