Modern Web Podcast S12E04- 6 Steps to AI Adoption: Benefits of SLMs vs LLMs
Apr 23, 2024
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AI adoption experts Rob Ocel and Jerome Hardaway discuss the differences between Small Language Models (SLMs) and Large Language Models (LLMs), advancements in AI chips by tech giants, evolving role of engineers in AI, and ethical implications of AI implementation.
Understanding the differences between small and large language models (SLMs vs LLMs) in AI adoption for developers.
Emphasizing the importance of AI tools like DevIn in enhancing productivity and streamlining workflows across industries.
Deep dives
Transitioning from Software Engineer to AI Engineer
The podcast episode discusses how software engineers can transition into AI engineering, focusing on mental models for AI literacy and skill-building. Sean Wang shares his journey from software engineering to the AI space, highlighting shifts in his career from previous focuses like JavaScript to diving into AI. The discussion touches on the evolution of answering different questions, emphasizing the importance of adapting to changing trends and technologies in the tech industry.
The Emergence of AI Engineering as an Industry
Sean Wang delves into the creation of an AI engineering industry, emphasizing the demand for AI engineers who are not traditional ML engineers. He discusses the unique skill set required for AI engineers and how companies seek individuals with practical AI application skills, even if they lack formal ML engineering backgrounds. Sean's efforts to legitimize and establish the AI engineering field through industry events like conferences and online resources are highlighted as key components in shaping this emerging industry.
The Role of AI in Code Generation and Software Development
The podcast explores the significance of AI in code generation and software development, showcasing how AI tools like DevIn can facilitate coding tasks and amplify developer productivity. Sean Wang discusses the potential of AI agents like DevIn in aiding software development processes, such as generating code, debugging, and providing technical guidance. The conversation underscores the collaborative nature of AI-enhanced engineering, where individuals work alongside AI tools to optimize their workflow and address coding challenges effectively.
Navigating the AI Landscape and Incorporating AI Tools
Sean Wang provides insights into utilizing AI tools like DevIn as a means to enhance productivity and streamline workflows. The discussion sheds light on the versatility of AI applications across various industries and creative endeavors, showcasing the potential for AI to innovate processes beyond traditional coding tasks. Sean encourages listeners to explore and leverage AI tools to address complex challenges, highlighting the importance of understanding AI's role in augmenting human capabilities and fostering new avenues of innovation.
Rob Ocel and Jerome Hardaway continue their series on AI adoption. In this installment, they discuss the differences between small language models (SLMs) and large language models (LLMs), highlighting the unique strengths of each. They also explore the advancements in AI chips by tech giants like Apple and Google, and their potential impact on the industry for developers. The conversation touches on the evolving role of engineers in relation to AI, the role of the software engineer in the AI age, and some ethical implications of AI implementation.
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