Private, Local AI: Running Open-Source LLMs Locally
Explore private AI applications running open-source LLMs locally on personal devices. Learn about encrypted environments for fine-tuning models on sensitive data.
The Journey of Building a Leading Open Source LLM Security Toolkit
Explore the development of LLM Guard, an open-source toolkit for securing LLM applications in production. Learn about challenges, solutions, and real-world implementations for confident LLM deployment.
The Secret Sauce for Deploying LLM Applications into Production
Discover the key to deploying LLM applications in production through structured evaluation. Learn to log, evaluate, and make critical decisions for successful AI implementation in enterprise settings.
Towards Robust GenAI: Techniques for Evaluating Enterprise LLM Applications
Discover emerging automated evaluation solutions for LLMs, combining micro evaluators and human feedback to confidently deploy AI in enterprise applications.
Efficiently Fine-Tune and Serve Your Own LLMs
Learn to efficiently fine-tune and deploy large language models, optimizing performance and resource utilization for production environments.
Function Calling for LLMs: RAG without a Vector Database
Explore function calling for LLMs to access structured data, enhancing RAG capabilities without vector databases. Learn to enrich tables with metadata for improved query performance.
Finding Training Inefficiencies with CentML DeepView
Optimize deep learning model training with DeepView. Gain insights into performance bottlenecks, enhance resource utilization, and achieve significant throughput improvements through intuitive visualizations and targeted optimizations.
Evaluating LLMs and RAG Pipelines at Scale
Explore techniques for evaluating Large Language Models and RAG pipelines in production, focusing on Valor, an open-source evaluation service for rigorous real-world testing.
Better Chatbots with Advanced RAG Techniques
Explore advanced RAG techniques for building superior chatbots. Learn hybrid search, query generation, result filtering, re-ranking, and chunking to enhance information retrieval and user interactions.
The Best Component for Your RAG System - Optimizing with AutoRAG
Optimize RAG systems automatically with AutoRAG. Boost performance by finding the ideal pipeline for your data and use-case through efficient evaluation of various modules.
Why AI Apps Don't Work in Production: AI Reliability Survey
Explore AI reliability challenges in production, survey techniques for improvement, and gain insights from 18 months of solving AI engineering reliability issues.
Deploying GenAI Applications to Enterprises: Custom Evaluation Models and LLMOps Workflow - MLOps World
Explore challenges and solutions in deploying conversational AI to enterprises, focusing on accuracy optimization, LLMOps workflows, and infrastructure requirements for scalable implementation.
From Idea to Production: AI Infrastructure for Scaling LLM Applications
Explore strategies for scaling LLM applications from beta to production, addressing challenges and building adaptable AI infrastructure for evolving models and workflows.
Lessons Learned from Scaling Large Language Models in Production
Discover strategies for scaling LLMs in production, covering performance profiling, GPU optimization, and guardrail interactions with real-world examples.
Data Versioning in Generative AI - A Pathway to Cost-effective Machine Learning
Explore data versioning strategies for generative AI, focusing on cost-effective techniques to minimize processing time and API calls while enhancing collaboration and efficient versioning of annotations and embeddings.
Making Enterprise GenAI Safe and Effective - Tools and Approaches
Explore tools and approaches for safe, effective enterprise GenAI deployment, including finetuning, moderation guardrails, and sidecar systems for automated compliance.
Running Prompts at CI: Why It Doesn't Make Your GenAI App Enterprise-Ready
Explore challenges and best practices for deploying GenAI applications in enterprise environments beyond basic CI prompt testing.
Innovating Responsibly with AI: Minimizing Risks and Maximizing Opportunities
Explore Adobe's blueprint for responsible AI innovation, gaining insights to develop your organization's strategy for maximizing opportunities while minimizing risks.
Unleashing AI-Powered Threat Detection and Response in the SOC
Explore AI-powered threat detection in SOCs, focusing on cloud and hybrid environments. Learn real-world applications and future implications for cybersecurity operations.
Enhancing Cloud-native Security - Speed, Accuracy, and Context for Effective Threat Response
Develop a holistic strategy for cloud security with advanced monitoring, threat intelligence, and adaptive incident response to address evolving challenges.
Minutes, Not Months - Lightning Fast Cloud PKI Solutions
Explore modern PKI for proven security and identity at scale, covering IoT, in-country, on-prem, and hybrid landscapes. Learn cloud transformation fundamentals.