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.
Does Spam Have an Opinion
Explore sentiment analysis of spam messages using cloud computing and machine learning, with a humorous twist involving llama photos.
Breaking the Language Barrier - How Do We Quickly Add Multilanguage Support in Our AI Application
Explore machine translation APIs to quickly add multilingual support to applications. Learn to identify, translate, and transliterate speech/text for a global audience.
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.
Generative AI Design Patterns - Five Key Patterns for Enhanced AI Systems
Explore five essential generative AI design patterns - RAG, Cluster Pulse, State Based Agents, Guard Rails, and Auto-Prompting - through their practical application in developing a personalized K-8 tutoring system.
Rapid Deployment of LLMs into Production - Strategies and Insights
Discover practical strategies for deploying Large Language Models in production environments, from identifying use cases to implementing security protocols and managing stakeholder expectations.
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.
Multimodal RAG with LangChain, VertexAI, Gemini Pro and Chroma
Aprende a construir aplicaciones RAG multimodales utilizando LangChain, VertexAI y Chroma para procesar eficientemente datos no estructurados como PDFs e imágenes.
Multimodal RAG with LangChain, VertexAI, Gemini Pro and Chroma
Master building multimodal RAG systems using LangChain and VertexAI SDK to process PDFs and images, implementing advanced data retrieval techniques with Chroma vector storage.
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.
Deploying Generative AI Applications with Cloud Run and LangChain on Google Cloud
Master deploying Generative AI applications on Cloud Run, integrating LangChain with Cloud SQL's pgvector and Vertex Endpoints to build scalable, cost-effective AI solutions on Google Cloud.
How to Fine-Tune Mamba for Question Answering
Dive into practical Mamba language model fine-tuning for question-answering tasks, from basic prompt engineering to complete model training implementation.
Deep Dive Into Self-Rewarding Language Models - Training Models as Their Own Judges
Explore how language models can be trained to evaluate and improve themselves, eliminating the need for human-labeled data while achieving superior performance in AI development and training.
Fine-Tuning Self-Rewarding Language Models with Mistral 7B
Dive into implementing Meta's Self-Rewarding Language Model with Mistral 7B, covering fine-tuning techniques, data preparation, prompt generation, and practical demonstrations.
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.
Inside the Rectified Flow Transformer Model - Understanding Advanced Image Generation
Dive into the technical architecture and methodology behind Flux, exploring rectified flow transformers, latent diffusion models, and the innovative approaches that led to superior image generation results.
The Prompt Report: Understanding Prompting Techniques and Taxonomy - Part 1
Explore systematic prompting techniques through an in-depth analysis of template structures, zero-shot methods, emotion prompting, and thought generation approaches for enhanced AI interactions.
PDL: A Declarative Language for Smarter and Faster LLM Programming
Discover how PDL revolutionizes prompt programming with a declarative YAML-based approach, enabling modular, reusable patterns for enhanced LLM interactions and sophisticated application development.