NTT Research Foundation, Harvard Announce Fellowship for Physics of Intelligence ResearchPublished on April 17, 2024
LLMs vs Leetcode (Part 1 & 2): Understanding Transformers' Solutions to Algorithmic ProblemsPublished on April 16, 2024
Dopple.ai Overtakes Mainstream Competitors With Unfiltered, Unbiased AI ChatbotsPublished on April 12, 2024
'Multimodal is the most unappreciated AI breakthrough' says DoNotPay CEO Joshua BrowderPublished on April 10, 2024
A Simple Guide on AI Text Prompts: Tell the AI Exactly What You Want to SeePublished on February 2, 2023
Solving Car Damage Detection Task By Using a Two-Model Computer Vision SolutionPublished on May 16, 2023
The Cheapskate’s Guide to Fine-Tuning LLaMA-2 and Running It on Your LaptopPublished on September 11, 2023
LLMs vs Leetcode (Part 1 & 2): Understanding Transformers' Solutions to Algorithmic ProblemsPublished on April 16, 2024
Unveiling Infinite Context Windows: Leveraging LLMs in Streaming Apps with Attention SinksPublished on October 4, 2023
LLM Vulnerabilities: Understanding and Safeguarding Against Malicious Prompt Engineering TechniquesPublished on December 14, 2023
How to Converse With PDF Files Using Computer Vision and Opensource Language ModelsPublished on July 6, 2023
A List of Projects Software Engineers Should Undertake to Learn More About LLMsPublished on September 8, 2023
Streamlining LLM Application Development and Deployment with LangChain, Heroku, and PythonPublished on March 18, 2024
Qvest Shares Key AI Findings at NAB Show 2024, Highlighting Major Trends in Media and EntertainmentPublished on April 15, 2024
Streamlining LLM Implementation: How to Enhance Specific Business Solutions with RAGPublished on April 8, 2024
Direct Preference Optimization (DPO): Simplifying AI Fine-Tuning for Human PreferencesPublished on March 9, 2024
How to Build an Agent With an OpenAI Assistant in Python - Part 1: ConversationalPublished on February 9, 2024
Stable Video Diffusion: The Three-Stage Training Process for Cutting-Edge Video GenerationPublished on December 13, 2023
Unveiling the Limits of Learned Local Search Heuristics: Are You the Mightiest of the Meek?Published on April 12, 2024
Assessing the Justification for Integrating Deep Learning in Combinatorial OptimizationPublished on April 12, 2024
Comparative Analysis: Learned Heuristics vs. WalkSAT in SAT Problem SolvingPublished on April 12, 2024
Exploring Classical and Learned Local Search Heuristics for Combinatorial OptimizationPublished on April 12, 2024
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Conclusion & ReferencesPublished on April 2, 2024
A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM APIPublished on August 22, 2023
The Future: VERSES.AI, KOSM OS, and the Unstoppable Advent of AGI with the Spatial WebPublished on June 14, 2023
NTT Research Foundation, Harvard Announce Fellowship for Physics of Intelligence ResearchPublished on April 17, 2024
Is AGI Getting Closer? Anthropic's Claude 3 Opus Model Shows Glimmers of Metacognitive ReasoningPublished on March 5, 2024
Revolutionizing Creative Text Generation with Quality-Diversity through AI FeedbackPublished on January 26, 2024
Table-driven Prompt Design: How to Enhance Analysis and Decision Making in your Software DevelopmentPublished on January 14, 2024
Efficient Neural Network Approaches for Conditional Optimal Transport: Abstract & IntroductionPublished on April 15, 2024
Efficient Neural Network Approaches: Partially Convex Potential Maps (PCP-Map) for Conditional OTPublished on April 15, 2024
Efficient Neural Network Approaches for Conditional Optimal Transport: Discussion and ReferencePublished on April 15, 2024
Efficient Neural Network Approaches for Conditional Optimal Transport: Numerical ExperimentsPublished on April 15, 2024
Efficient Neural Network Approaches: Implementation and Experimental SetupPublished on April 15, 2024
Efficient Neural Network Approaches for Conditional Optimal Transport:Conditional OT flow (COT-Flow)Published on April 15, 2024
Efficient Neural Network Approaches for Conditional Optimal Transport: Background and Related WorkPublished on April 15, 2024