To facilitate enterprise adoption of LLMs, we need to make it easy for teams to experiment and build simple apps that use them. A new crop of developer tools imbued with a suite of features meticulously designed to simplify the nuances of LLMs, are fast becoming indispensable for developers. They offer the flexibility to switchContinue reading “Exploring the Boundaries of LLMs: Learning from Versatile Developer Tools”
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Enterprise Generative AI Unfolded
Subscribe • Previous Issues Ten Keys to Accelerating Enterprise Adoption of LLMs By reviewing job postings in the US and analyzing recent reports on enterprise Large Language Models (LLMs) and Generative AI (GAI), I sought to understand the most critical enterprise requirements for these technologies. From this analysis emerged the following pillars, each representing a set ofContinue reading “Enterprise Generative AI Unfolded”
2023 Summer Book Recommendations
As we dive into the summer of 2023, I’d like to share with you a selection of non-fiction books that have captivated my attention and enriched my understanding of various subjects this year. All three books delve into the intricate dynamics of human behavior, decision-making, and the systems that influence them. They provide a deepContinue reading “2023 Summer Book Recommendations”
Navigating the Intricacies of LLM Inference & Serving
According to a recent Stack Overflow survey, 70% of developers use AI tools or plan to do so within the next few months, illustrating the pervasive sentiment of AI optimism within the tech community. The beneficial impacts of these technologies are evident: one-third of these developers have experienced increased productivity, a testament to the powerContinue reading “Navigating the Intricacies of LLM Inference & Serving”
Game-Changing Tools for Optimizing Data Quality and Performance in Computer Vision
With the recent focus on LLMs, it’s easy to forget how critical computer vision models have become. Applications of computer vision can be found across many industries, and the technology is still growing rapidly. As companies invest in computer vision, the technology is expected to continue to improve efficiency and drive innovation. The healthcare industryContinue reading “Game-Changing Tools for Optimizing Data Quality and Performance in Computer Vision”
The New Era of Efficient LLM Deployment
Subscribe • Previous Issues Navigating the Intricacies of LLM Inference & Serving According to a recent Stack Overflow survey, 70% of developers use AI tools or plan to do so within the next few months, illustrating the pervasive sentiment of AI optimism within the tech community. The beneficial impacts of these technologies are evident: one-third of theseContinue reading “The New Era of Efficient LLM Deployment”
Deciphering Apple’s AI Strategy and Priorities
As the world’s most valuable company, Apple’s priority areas and investment strategies draw attention globally. Curious about the company’s moves in AI, I recently analyzed online job postings from Apple in the US, Europe, and APAC, which I extracted in mid-June 2023. These postings specifically mention [AI or machine learning or deep learning], and offerContinue reading “Deciphering Apple’s AI Strategy and Priorities”
Entity Resolution: Insights and Implications for AI Applications
Software systems may start simple, but adding sophisticated features and ensuring maintainability leads to complexities, contributing to the age-old ‘build versus buy’ dilemma in software acquisition. With every team needing to weigh the pros and cons of developing new technology in-house versus procuring it from third parties, factors such as cost, implementation timeline, and technicalContinue reading “Entity Resolution: Insights and Implications for AI Applications”
Decoding Apple’s AI Ambitions
Subscribe • Previous Issues Deciphering Apple’s AI Strategy and Priorities As the world’s most valuable company, Apple’s priority areas and investment strategies draw attention globally. Curious about the company’s moves in AI, I recently analyzed online job postings from Apple in the US, Europe, and APAC, which I extracted in mid-June 2023. These postings specifically mention [AIContinue reading “Decoding Apple’s AI Ambitions”
Build better Large Language Models with WeightWatcher
Companies are beginning to harness Custom Large Language Models (LLMs) and Custom Foundation Models due to their superior performance in specialized fields and applications. These models hold the potential to elevate accuracy, bolster data privacy and security, and deliver a competitive edge. For instance, domain-specific LLMs are more adept at understanding complex, field-specific terminologies andContinue reading “Build better Large Language Models with WeightWatcher”