ChatGPT with Arduino and ESP32 - C++ and MicroPython Coding
Explore AI-assisted coding for Arduino and ESP32 using ChatGPT. Learn to create projects like temperature meters, WiFi scanners, and web servers in C++ and MicroPython.
Lessons from Launching an LLM Chatbot - CriteriaGPT for Mortgage Brokers
Explore insights from launching CriteriaGPT, a RAG-based chatbot for mortgage brokers. Learn strategies for implementing retrieval augmented generative applications across various domains.
Retrieval, Search and Knowledge in the Age of LLMs and Vector Databases
Explore vector embeddings' impact on information compression, search, and knowledge retrieval. Learn how enterprises can leverage this technology to enhance customer understanding and interaction.
Productionizing Large Language Models
Unravel intricacies of deploying Large Language Models in production. Explore case studies, best practices, tools, and troubleshooting techniques with industry expert Lukas Biewald.
Towards LLM-augmented Database Systems
Explore how database systems can be enhanced with LLMs to efficiently handle multi-model data queries while addressing performance challenges and hallucination issues in modern data processing.
How to Steal ChatGPT's Embedding Size and Other Low-rank Logit Tricks
Uncover hidden information about API-protected LLMs through low-rank logit analysis. Learn to estimate embedding sizes, audit model updates, and identify source models efficiently.
Social Engineering with AI: From Traditional Attacks to Next-Generation Techniques
Discover how AI tools transform social engineering tactics, from crafting sophisticated phishing to conducting vishing operations, while learning both offensive techniques and defensive strategies for modern security awareness.
Building a Retro AI Chat Interface with Pyxel and Ollama
Discover how to create a unique retro-style AI chat interface by combining Pyxel gaming engine with Llama 3.1 and Ollama, bringing a nostalgic 80s twist to modern AI interactions.
RAG - Extracting Information from PDFs Using LlamaIndex, Gemini, and Nvidia NIM with Llama 3.2
Aprende a extraer información de PDFs utilizando LlamaIndex, implementando modelos como Gemini y Nvidia NIM para embeddings junto con LLama 3.2 para procesamiento de lenguaje natural.
Extending PyTorch for Custom Compiler Targets - Accelerator Hardware Integration
Discover how to annotate PyTorch code with custom metadata for optimizing model inference on specialized hardware accelerators, focusing on LPU deployment and performance enhancement.
Unlocking Local LLMs with Quantization
Discover how quantization optimizes LLMs for local deployment, from pre-training techniques to fine-tuning methods and inference optimization using cutting-edge approaches and community tools.
Marvis VNA Enhancements - User Data, ChatGPT, and Marvis Actions
Discover how Juniper's Marvis innovations enhance enterprise networks through AI-powered user experience learning, conversational interfaces, and automated actions for improved network management.
Understanding Text Generation Through Diffusion Models - From Theory to Implementation
Dive into discrete diffusion modeling for text generation, exploring probability distributions, score-based modeling, and practical applications in generative AI that rival GPT-2's capabilities.
Understanding How Llama 3.1 Works - A Technical Deep Dive
Dive into Meta's groundbreaking Llama 3 architecture, exploring pre-training techniques, model capabilities, synthetic data quality, and implementation strategies for advanced AI development.
Leveraging Generative AI for Data Processing and Database Management
Explore how generative AI advances transform data management, from automated database tuning to natural language pattern mining and SQL code synthesis, with insights from Cornell's cutting-edge research.
Mixture-of-Supernets - Improving Weight-Sharing Supernet Training with Architecture-Routed MoE
Explore cutting-edge research on Mixture-of-Supernets architecture that enhances neural architecture search efficiency and improves BERT and MT model performance through innovative weight-sharing techniques.
Prompt Engineering - Steps Towards AI Native Tooling
Explore the evolving landscape of AI-native tooling through prompt engineering, from code generation to creative applications, while understanding its impact on the future of technology and development.
Reshaping Reconnaissance - AI's Role in OSINT
Explore how AI and ML tools revolutionize OSINT practices, enhancing efficiency in processing public information and solving real-world intelligence gathering challenges.
BOLABuster - Harnessing LLMs for Automating BOLA Detection
Discover how to leverage LLMs for automated BOLA vulnerability detection in APIs and web applications, exploring BOLABuster's innovative approach to identifying critical security risks at scale.
Inside Llama 3 Red Team Process - AI Safety and Security Assessment
Delve into Meta's AI Red Team's comprehensive approach to testing Llama 3's safety, exploring methodologies, automated attacks, and emerging security challenges in AI systems.
A New Side Channel Attack on AI Assistants - Exploiting Vulnerabilities in Encrypted Messages
Uncover a critical side-channel vulnerability affecting AI assistants like ChatGPT, exploring how encrypted conversations can be intercepted and the broader implications for privacy and security.