May 2023

Mortal Komputation: On Hinton’s argument for superhuman AI.

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Last week in Cambridge was Hinton bonanza. He visited the university town where he was once an undergraduate in experimental psychology, and gave a series of back-to-back talks, Q&A sessions, interviews, dinners, etc. He was stopped on the street by random passers-by who recognised him from the lecture, students and postdocs asked to take a selfie with him after his packed lectures. Things are very different from the last time I met Hinton in Cambridge: I was a […]

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Inside ChatGPT's Brain: Large Language Models

Inside ChatGPT’s Brain: Large Language Models

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ChatGPT has transformed the way people communicate with machines. Instead of presenting users with numerous pages to sift through and evaluate, it provides written answers to their questions in mere seconds. In this blog post, we dive inside СhatGPT’s brain and explore large language models (LLMs) and other technologies that allow chatbots to communicate like people. After the initial excitement of using ChatGPT has subsided, the next question that arises is: “How can the machine reply to questions […]

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What Is AI Alignment?

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Artificial intelligence is advancing faster than ever before and often reaches impressive heights. The growth of AI-based startups has accelerated 14 times since 2020. AI has really penetrated any and every corner of our lives: from content creation to fintech to healthcare. However, the problem with AI is that it often doesn’t exactly do what we request of it. It often represents a black box that interprets our queries in its own way. And sometimes it can be […]

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LLM University, Generative AI, AI Product Moats

LLM University, Generative AI, AI Product Moats

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Hi! As we collectively wrap our heads around the new age of AI and how it changes our world, I’d love to share with you: Thanks for reading Language Models and Machine Learning! Subscribe for free to receive new posts and support my work. LLM University Eight key observations from what I’m learning about the space. LLM University I’m lucky to get to team up with some of my favorite ML educators to bring you Cohere’s LLM University […]

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How To Recognize a Deepfake?

How To Recognize a Deepfake?

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Deepfakes have become a growing concern in recent years as technological advancements have made it easier to manipulate digital media. These artificial intelligence-generated videos, images, and audio files have the potential to deceive people and spread disinformation on an unprecedented scale. In this article, we explore the evolution of deepfakes, how they work, and how to identify them. What is a deepfake? Deepfakes, a combination of the words “deep learning” and “fake,” refer to manipulated digital media that […]

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Haskell in Production: CollegeVine

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In this article, we interview Fyodor Soikin from CollegeVine – an online platform that connects high school students with college admissions guidance and mentorship. We talk about CollegeVine’s use of Haskell and PureScript in production, as well as how they have managed to integrate these languages with a Rails backend. Interview with Fyodor Soikin Could you give our readers a brief introduction to CollegeVine and your role there? CollegeVine is an online platform that offers college admissions guidance […]

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Word2Vec: Why Do We Need Word Representations?

Word2Vec: Why Do We Need Word Representations?

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Word2Vec, short for “word to vector,” is a technology used to represent the relationships between different words in the form of a graph. This technology is widely used in machine learning for embedding and text analysis. Google introduced Word2Vec for their search engine and patented the algorithm, along with several following updates, in 2013. This collection of interconnected algorithms was developed by Tomas Mikolov. In this article, we will explore the notion and mechanics of generating embeddings with […]

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Haskell in Production: Standard Chartered

Haskell in Production: Standard Chartered

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Haskell in Production: Standard Chartered In this article of our Haskell in Production series, we interview José Pedro Magalhães from Standard Chartered – a multinational bank that has over 6 million lines of code written in their own dialect of Haskell called Mu. Read further to learn more about how Haskell is written at Standard Chartered, Pedro’s experience using the language, and what tips Pedro would give to academics looking to transition into a Haskell developer job. Interview […]

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