Tag Archives: newsletter

Subscribe • Previous Issues Unpacking Model Collaboration: Ensembles, Routers, and Merging Generative AI models are constantly evolving, and so are the strategies we use to improve their performance. Retrieval-Augmented Generation (RAG) and its advanced iterations, such as GraphRAG and Mixture of Memory Experts, represent approaches that incorporate external knowledge to enhance model capabilities. Combining the strengths ofContinue reading “Boosting LLMs: The Power of Model Collaboration”

Subscribe • Previous Issues 10 Advantages of Custom AI Platforms Despite the abundance of AI services & platforms in the market, many tech-forward companies are taking a different route: building their own custom AI platforms. This raises a crucial question: why craft a bespoke AI platform when so many options already exist? The classic “buy vs. build”Continue reading “Why Digital-First Companies Are Building Their Own AI Platforms”

Subscribe • Previous Issues A Unified Approach to Managing AI Risks By Andrew Burt,  Mike Schiller, & Ben Lorica. Artificial intelligence has a problem. In the last decade, companies have begun to deploy AI widely and have come to rely on a host of different tools and infrastructure. There are tools for data collection, cleaning, and storage.Continue reading “What is an AI Alignment Platform?”

Subscribe • Previous Issues Generative AI: Navigating the Challenges of Enterprise Adoption As we reach the halfway mark of 2024, it’s a prime opportunity to evaluate how companies are progressing in their efforts to leverage the power of generative AI. To mark this occasion, I’ve combed through numerous surveys and spoken with people from several companies acrossContinue reading “Why Your Generative AI Projects Are Failing”

Subscribe • Previous Issues Choosing the Right Vector Search System By Ben Lorica and Prashanth Rao. Since we released a vector database index nearly two years ago, the landscape of vector search and databases has evolved dramatically. The rise of Retrieval-Augmented Generation (RAG) has been a pivotal factor, with embeddings emerging as the lingua franca of Generative AI.Continue reading “The Future of Vector Search”

Subscribe • Previous Issues Enhancing RAG with Knowledge Graphs: Blueprints, Hurdles, and Guidelines By Ben Lorica and Prashanth Rao. GraphRAG (Graph-based Retrieval Augmented Generation) enhances the traditional Retrieval Augmented Generation (RAG) method by integrating knowledge graphs (KGs) or graph databases with large language models (LLMs). It leverages the structured nature of graph databases to organize data asContinue reading “GraphRAG: Design Patterns, Challenges, Recommendations”

Subscribe • Previous Issues Navigating the Complex World of AI Agents Last year, the buzz in the AI community revolved around the concept of AI co-pilots – systems designed to work alongside humans, assisting them in tasks and decision-making processes. These co-pilots, such as GitHub Copilot for programming assistance and Grammarly for writing, focused on augmenting humanContinue reading “Agentic AI: Challenges and Opportunities”

Subscribe • Previous Issues Avoiding the Pitfalls and Embracing the Opportunities of GenAI Adoption By Assaf Araki and Ben Lorica. The world of technology is no stranger to hype. From the dot-com bubble to the rise of cloud computing, we’ve witnessed cycles of intense excitement followed by disillusionment. Two prominent examples of transformative technologies in recent timesContinue reading “Learning from the Past: Comparing the Hype Cycles of Big Data and GenAI”

Subscribe • Previous Issues Generative AI: Insights from the Frontlines A recent survey of large enterprises reveals a significant shift towards in-house application development, driven by the rise of foundation models offering accessible APIs. This move away from reliance on external vendors for AI-driven solutions has major implications for the industry. For instance, companies that once reliedContinue reading “GenAI and LLMs: Insights from TikTok and KPMG”