In today’s episode, Brian sparks an intriguing discussion about the potential risks, such as hallucinations or incorrect responses, associated with large language models. I delve into how these models, despite their complex architecture, are essentially involved in a word guessing game, which can lead to unpredictable responses. I underscore the importance of supervision, subject matter…
In today’s episode, Ravi raises a crucial question about ensuring security and confidentiality while using AI tools like ChatGPT or Bard. I take you through the potential risks involved and emphasize the paramount importance of not inputting sensitive information into these systems. I also delve into a safer alternative, running large language models locally on…
In today’s episode, we delve into the concept of ‘prompt libraries’ in the realm of large language models and image modeling. I’ll share why it’s crucial for every AI user to keep a prompt library and how it can be leveraged to fine-tune AI tools like ChatGPT or DALL-E to align more with your unique…
Almost Timely News: When Should You Use Generative AI? (2023-06-25) :: View in Browser 👉 Watch this free YouTube video on how to set up Google Analytics 4 menus to mirror Universal Analytics Content Authenticity Statement 92% of this newsletter was generated by me, the human. AI generated content appears in the first section in…
In today’s episode, I discuss the future of AI and how it relates to the concept of specialization. Just like a car that tries to be sleek, rugged, and spacious all at once ends up looking strange and unappealing, monolithic AI models that aim to do everything fall short of greatness. The future lies in…
In today’s episode, I tackle the question of when to use generative AI in writing. I discuss two dimensions: commodity versus creative writing and comparative versus generative tasks. Commodity writing, like memos and emails, is well-suited for AI, as it focuses on practicality rather than artistic expression. However, creative writing, such as poetry and fiction,…
In today’s episode, we delve into the uncomfortable reality of large language models. The safer we make them, the less creative and useful they become. By censoring these models to exclude profanity and sensitive topics, we inadvertently hinder their ability to generate contextually accurate content. Although it’s important to censor racism and hate speech, doing…
In today’s episode, we dive into the concept of spatial computing and its potential implications. Apple’s new goggles, Apple vision Pro, introduce their take on virtual reality and spatial computing. However, the success of these devices relies heavily on addressing latency issues, both in motion and input. Latency can break the immersive experience and affect…
In today’s episode, I discuss what has captured my attention in the field of artificial intelligence, particularly the limitations and decreasing utility of large tech models like GPT-4 and ChatGPT due to increasing restrictions. I share my experience with content censorship and highlight the importance of open-source projects that provide greater ownership and control. I…
