This series of charts, extracted from a recent Stack Overflow Developer Survey, provides insights into developers and technologists’ attitudes and behaviors towards AI/ML tools across various professional tasks and experience levels. One central theme that stands out across the dataset is the prevalence and acceptance of AI/ML tools for writing code. Regardless of the experienceContinue reading “Generative AI in Action: How Developers Utilize AI/ML Tools across Tasks”
Category Archives: Uncategorized
Recent Signals from the Thriving LLM Job Market
The LLM job market is thriving, particularly in sectors such as technology, finance, healthcare, pharmaceuticals, biotech, media, entertainment, and academia. Considering the emerging interest from businesses operating in regulated sectors, such as financial services and healthcare/pharmaceuticals, startups developing LLM tools should prioritize the integration of enterprise features. These features include robust privacy and security measures,Continue reading “Recent Signals from the Thriving LLM Job Market”
Get the Most Out of Your Custom LLMs
Subscribe • Previous Issues 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 LLMsContinue reading “Get the Most Out of Your Custom LLMs”
Apple and the Emergence of Spatial Computing
Apple’s Vision Pro headset is one of those technological advancements that’s stirring both fervor and skepticism in its potential users. With its high resolution, lightweight design, spatial audio, and advanced features like eye-tracking and augmented reality, the Vision Pro has the potential to revolutionize the way we interact with digital content.The stylish and modern designContinue reading “Apple and the Emergence of Spatial Computing”
Behind the Curtain: Unpacking GPT-4 and PaLM 2
As AI technology continues to evolve, we are witnessing a shift in the openness of systems. Leading-edge AI models, such as GPT-4 (OpenAI) and PaLM 2 (Google), are trending towards being less open than their predecessors. This shift is being driven by a number of factors, including the mounting costs of training these models, theContinue reading “Behind the Curtain: Unpacking GPT-4 and PaLM 2”
What You Need to Know About GPT-4 and PaLM 2
Subscribe • Previous Issues Behind the Curtain: Unpacking GPT-4 and PaLM 2 As AI technology continues to evolve, we are witnessing a shift in the openness of systems. Leading-edge AI models, such as GPT-4 (OpenAI) and PaLM 2 (Google), are trending towards being less open than their predecessors. This shift is being driven by a number ofContinue reading “What You Need to Know About GPT-4 and PaLM 2”
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 and Data conferences since taking a hiatus from events, this will be myContinue reading “The AI Conference: Bridge the gap between research and practice”
The AI Conference in SF: The Future of AI is Now!
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!”
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”