Subscribe • Previous Issues The AI Conference: Bridge the gap between research and practice I am elated to announce my role as Program Chair for The AI Conference, a unique event designed to bridge the gap between research and practical applications. While I have continued to serve as co-chair and program committee member for numerous AI andContinue reading “The AI Conference in SF: The Future of AI is Now!”
Author Archives: Ben Lorica
What I Talk About When I Talk About Prompting
In recent months, my approach to constructing NLP pipelines and applications has shifted from integrating various libraries to using large language models (LLMs) via their APIs. This transition has resulted in a slight increase in latency and cost (due to the replacement of free libraries), but it has also delivered significant benefits in terms ofContinue reading “What I Talk About When I Talk About Prompting”
The Future of Prompt Engineering: Getting The Most Out of LLMs
Subscribe • Previous Issues What I Talk About When I Talk About Prompting In recent months, my approach to constructing NLP pipelines and applications has shifted from integrating various libraries to using large language models (LLMs) via their APIs. This transition has resulted in a slight increase in latency and cost (due to the replacement of freeContinue reading “The Future of Prompt Engineering: Getting The Most Out of LLMs”
Large Language Models in Cybersecurity
Despite the fact that large language models (LLMs) are still in their infancy, organizations across all industries and domains are already showing considerable interest in them. I thought that it would be useful to describe how LLMs will be implemented within companies by focusing on cybersecurity, a specialized area of activity within IT that isContinue reading “Large Language Models in Cybersecurity”
Unleashing LLMs in Cybersecurity: A Playbook for All Industries
Subscribe • Previous Issues Large Language Models in Cybersecurity Despite the fact that large language models (LLMs) are still in their infancy, organizations across all industries and domains are already showing considerable interest in them. I thought that it would be useful to describe how LLMs will be implemented within companies by focusing on cybersecurity, a specializedContinue reading “Unleashing LLMs in Cybersecurity: A Playbook for All Industries”
Building LLM-powered Applications
The past few weeks have been exciting for developers interested in deploying AI-powered applications. The field is evolving quickly, and it is now possible to build AI-powered applications without having to spend months or years learning the ins and outs of machine learning. This opens up a whole new world of possibilities, as developers canContinue reading “Building LLM-powered Applications”
Building LLM-powered Apps: What You Need to Know
Subscribe • Previous Issues Building LLM-powered Applications The past few weeks have been exciting for developers interested in deploying AI-powered applications. The field is evolving quickly, and it is now possible to build AI-powered applications without having to spend months or years learning the ins and outs of machine learning. This opens up a whole new worldContinue reading “Building LLM-powered Apps: What You Need to Know”
Get Started on Aligning AI
Alignment is a topic that has garnered significant attention and research in the field of AI. It is a critical challenge in AI and machine learning that seeks to ensure that machines behave in ways that are beneficial. More precisely, alignment refers to the idea that an AI system should align its goals with itsContinue reading “Get Started on Aligning AI”
Alignment in AI: Key to Safe and Beneficial Systems
Subscribe • Previous Issues Get Started on Aligning AI Alignment is a topic that has garnered significant attention and research in the field of AI. It is a critical challenge in AI and machine learning that seeks to ensure that machines behave in ways that are beneficial. More precisely, alignment refers to the idea that an AIContinue reading “Alignment in AI: Key to Safe and Beneficial Systems”
The LLM Triad: Tune, Prompt, Reward
As language models become increasingly common, it becomes crucial to employ a broad set of strategies and tools in order to fully unlock their potential. Foremost among these strategies is prompt engineering, which involves the careful selection and arrangement of words within a prompt or query in order to guide the model towards producing theContinue reading “The LLM Triad: Tune, Prompt, Reward”