Llm

Just a whole lotta links this time around. Didn’t have a chance to really dig into any of them to provide any kind of commentary or thoughts or opinions. Some good state-of-ai think pieces here, a handful of potential learning projects and some AWS cloud related articles this time around, that I definately want to dig into some more.

Table of Contents

• AI and Machine Learning
  • Preliminary Notes on the Delvish Dialect, by Bruce Sterling | by Bruce Sterling | Jul, 2024 | Medium
  • us-state-of-gen-ai-report-q2
  • FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision | Tri Dao
  • The AI summer — Benedict Evans
  • AI Conundrums – tecosystems
  • Prompt engineering techniques and best practices: Learn by doing with Anthropic’s Claude 3 on Amazon Bedrock | AWS Machine Learning Blog
  • Superintelligence—10 years later - by Conrad Gray
  • [2402.14905] MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
  • 2406.17711v1
  • Linear Algebra Concepts Every Data Scientist Should Know | by Benedict Neo | bitgrit Data Science Publication | Jun, 2024 | Medium
  • Multi AI Agent Systems 101. Automating Routine Tasks in Data Source… | by Mariya Mansurova | Jun, 2024 | Towards Data Science
  • How To Run Llama 3 In Visual Studio Code — A Step-By-Step Guide | by Jim Clyde Monge | Generative AI
  • Gradually, then Suddenly: Upon the Threshold
  • GitHub - karpathy/LLM101n: LLM101n: Let’s build a Storyteller
  • Meet Verba 1.0: Run State-of-the-Art RAG Locally with Ollama Integration and Open Source Models - MarkTechPost
• Cloud Computing and Security
  • Strategies for achieving least privilege at scale – Part 2 | AWS Security Blog
  • Strategies for achieving least privilege at scale – Part 1 | AWS Security Blog
  • secured-bastion-host-terraform/README.md at main · aws-samples/secured-bastion-host-terraform · GitHub
  • Access AWS services programmatically using trusted identity propagation | AWS Security Blog
  • bullfrog/README.md at main · bullfrogsec/bullfrog · GitHub
  • aws-whoami-golang/README.md at main · benkehoe/aws-whoami-golang · GitHub
  • Forward Incoming Email to an External Destination | AWS Messaging & Targeting Blog

AI and Machine Learning

Category Tags: #ai, #llm, #machine-learning, #generative-ai, #deep-learning

As in this post was born on the 4th of July. Nothing more than that. Just a dumb title to a silly link post for the holiday. I actually had a chance to read through and have thoughts on some of these articles, there’s that as well. Enjoy.

Table of Contents

• Artificial Intelligence and Machine Learning
  • The Five Stages Of AI Grief - NOEMA
  • RouteLLM: An Open-Source Framework for Cost-Effective LLM Routing | LMSYS Org
  • AI Patterns – tecosystems
• Development and Programming
  • Meet Verba 1.0: Run State-of-the-Art RAG Locally with Ollama Integration and Open Source Models - MarkTechPost
  • GPT4All
  • Using Generative AI to Create Runnable Markdown | Docker
  • GitHub - posit-dev/positron: Positron, a next-generation data science IDE
  • GitHub - squaredtechnologies/thread: AI-Powered Jupyter Notebook built using React
• Cybersecurity and Responsible AI
  • Mitigating Skeleton Key, a new type of generative AI jailbreak technique | Microsoft Security Blog
  • A discussion of discussions on AI bias
• Data Science and Analytics
  • Quill - AI-powered SEC filing platform

Artificial Intelligence and Machine Learning

Category Tags: #ai, #machine-learning, #deep-learning, #nlp, #generative-ai

Wow. So it’s be another long while, since I got around to creating another post. This one is another link list, based what has caught my eye over the last month. Can’t say I have read them all, but good list to come back to as time permits.

Something I did decide to do based on having all of these articles, was to create a python script that would interact with the Omnivore API (the application I use to grab links and content I want to read later) to grab all the articles I have saved and send all of those to openAI to create a summary and suggest some tags. I will eventually create a write-up for that project, but wanted to get this link list out first. Seems to have turned out ok, but many improvements to make.

It’s weekend number two of the Deep Learning Specialization with the Purdue University Post Graduate Program in AI and Machine Learning program that I have been participating since January. This is the seventh and section of the program which won’t wrap up until mid-July with only the Capstone Project left to complete to finish out the program. This week-end was all about Object Detection, Selective Search, Sequential Modeling, Recurrent Neural Networks, Word Embedding, Long Short-Term Memory and Hybrid Modeling.