Sitemap - 2023 - Turing Post
FOD#34: It's All About Inference
Token 1.14: What is Synthetic Data and How to Work with it?
Token 1.13: Where to Get Data for Data-Hungry Foundation Models
7 resources to master prompt engineering
FOD#32: Mixture of Experts – What is it?
tl;dr: Don’t Ever Set Your Electric Car on Fire
Token 1.12: What is Vector Database's Role in FMOps?
FOD#31: Enabling the Future of AI
Character AI's Journey: From Not Needed to Highly Valued
Token 1.11: What is Low-Rank Adaptation (LoRA)?
FOD#30: One Year of ChatGPT – The Impact
Creating large language model that "speaks DNA"
Token#1.9: Large vs Small in AI: The Language Model Size Dilemma
FOD#29: Microsoft Goes All In On AI, Now With Sam Altman and Greg Brockman as Employees
Replit: How to Compete Tech Giants by Democratizing AI in Coding
5 Open Computer Vision Courses Across Top Universities
FOD#28: Is France the Next Open-Source AI Capital?
Insights from Sasha Luccioni's TED Talk on Impact of AI
Token 1.8: Silicon Valley of AI Chips and Semiconductors
5 Must-Read Books on AI Ethics
Jasper AI: A Dilemma of a Thin Wrapper
Token 1.7: What Are Chain-of-Verification, Chain of Density, and Self-Refine?
The Best AI Inventions of 2023
Token 1.6: Transformer and Diffusion-Based Foundation Models
Navigating the Text-to-Image Terrain: A Curated List of 15 Tools
Unlocking Data Mastery: 3 Free Books for Every Learner
Token 1.5: From Chain-of-Thoughts to Skeleton-of-Thoughts, and everything in between
FOD#24: What’s Overlooked In The Recent AI Reports – Big Questions
Master Large Language Models with 3 Free Courses
Token 1.4: Foundation Models – The Building Blocks
FOD#23: The Quest for Self-Reproducing Automata: Old and New Ideas
Runway Chronicles: Melding Art and AI in a Transient Tech Terrain
Token 1.3: What is Retrieval-Augmented Generation (RAG)?
FOD#22: Apple's AI Moat – Transforming Hardware and Setting the Stage for Industry Leadership
A Brief History of Neural Networks
Lightricks: The Oldest Generative AI Unicorn
Use Cases for Foundation Models and Key Benefits
FOD#21: Amazon's Shovels, Anthropic's Castle: A Symbiotic AI Moat
10 AI Code Companions: Models and Tools
From Task-Specific to Task-Centric ML: A Paradigm Shift
FOD#20: Intuitive and interactive AI that gently guides us toward AI succession
FOD#19: The Convergence of Reasoning and Action in AI
A Comprehensive Open-Source Python Library for All Major Algorithms
Interview: OpenAI GC Che Chang on Managing Risks and Rewards of AI
FOD#18: AI Insights Summit’s Insight and a Personal Insight
5 free Machine Learning Courses Recommended by OpenAI Professionals
Cohere AI Chronicle — Challenging Tech Giants With AI For All
Where are you in FMOps Infrastructure Stack? Tell us
FOD#17: The Week of Impressive Numbers and the GPU-Rich vs. GPU-Poor Narrative
Highlights from Sam Altman’s Testimony Before Senate
Democratizing AI: The Hugging Face Ethos of Accessible Machine Learning
Russia's Stride in AI: A Deep Dive into 2023's Challenges and Breakthroughs
AI Development in India – the First Half of 2023
AI Development in the UK – the First Half of 2023
AI Development in China – the First Half of 2023
FOD#16: Getting Closer to Eternal September: Confusion, Concerns, and New Consciousness in AI
5 open-source AI models for code generation and other options
The History of LLMs Series – Recap
FOD#15: AI in governmental embrace + NVIDIA highlights
AI Bubble Bursting into AI Winter – yes or no? (History of LLMs #5)
FOD#14: Does AI alphabet also start with A: Amazon and Apple reveal their AI plans
5 Large-Scale Datasets for AI Research #2
How to Leverage Open-Source LLMs in Your Project
FOD#13: Balancing Safety Measures and Open Source Protections
FOD#12: The Impact of Worldcoin's Global Identity Plans and Meta's Llama 2 on the Tech Landscape
Inflection AI: The Story of the Unforeseen and Secretive Unicorn with a $4 Billion Valuation
FOD#11: So many new releases you want to know about and the clouds over a few AI companies
5 Large-Scale Datasets for AI Research
The secret sauce behind ChatGPT and other important LLMs (History of LLMs #4)
FOD#10: Prompt Engineer vs AI Engineer, and Superhuman Human Fallacy
Key Large Language Models (LLMs) in China
There Would Have Been No LLMs Without This (History of LLMs #3)
FOD#9: Reinforcement Learning is back, and we have zero understanding of what to expect
3 reasons why machines can become more intelligent than people
The Story of AI Winters and What it Teaches Us Today (History of LLMs. Bonus)
FOD#8: Generative AI hype is overwhelming
How to program your autonomous AI agent? 2 GitHub repos
What a wonderful day to start reading Turing Post
FOD#7: A first step to Human-like AI and the significance of Reddit meltdown
The Era of Mechanical Translation and How It Crashed (History of LLMs #1)
Anthropic Chronicle: Unveiling the Secrets of OpenAI's Rival
FOD#6: AI (has been) everywhere (for a long time)
Using LLMs to program cooperative AI agents
OpenAI Chronicle: What Drives ChatGPT Creators
FOD#5: Is AI bubble real? Rich addition to LLM fauna, AI extinction risk, and more regulation talks
Large language models are making things up: can this be improved?
Algorithm or Personality? The Significance of Anthropomorphism in AI
FOD#4: The Governance of Undefined Superintelligence and the World of Copilots
Tony Zador and Yann LeCun on possibility of AI enslaving the world
3 papers to understand transformers/LLMs
5 open-source large language models you can use in your project