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The most popular blog posts about ai & machine learning on Hacker News. 3,091 posts.
AI-related upgrades like the built-in AI Assistant, extended computation-augmented generation and the Wolfram Agent Tools framework. Advances in TimeSeries & Tabular. New categorical data, ModelFit automated model selection, symbolic music. Efficient handling of gigabyte-sized notebooks. Gains in the already-robust…
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
I upgraded my Claude Token Counter tool to add the ability to run the same count against different models in order to compare them. As far as I can tell …
OpenAI Universe was very exciting when it first came out. With Universe, it was suddenly possible to train AI to play Flash games, book flights online, and perform various other real-world tasks. Unfortunately, Universe never really took off in the AI world. I don’t know why others aren’t using Universe, but I can…
In this blog, I will introduce my approach to automatic musical composition, including the theory, the algorithm, and a Python package implementation ch0p1n .
Soundtrack: In Flames - Colony To further support my independent journalism, please subscribe to my premium newsletter. It’s $7 a month or $70 a year. If you’re subscribed to the free newsletter and logged in, you should see at the bottom right hand corner of your screen a little
I wrote up my experiences programming with LLMs a bit over a year ago , and updated it for the world of agents eight months ago . A lot has changed since then, so here is an update.
A recent paper The Reversal Curse points out an apparent failure in large large language models like GPT-4. From the abstract: We expose a surprising failure of generalization in auto-regressive large language models (LLMs). If a model is
The sheer scale of the new GPT-3 model is hard to overstate; it’s an entire order of magnitude larger than Microsoft’s already-massive 17B parameter Turing-NLG.[1] Loading the entire model’s weights
I've often found myself uneasy when LLMs (Large Language Models) are asked to quote the Bible. While they can provide insightful discussions about faith, their tendency to hallucinate responses raises concerns when dealing with scripture, which we regard as the inspired Word of God. To explore these concerns, I
"AI first" leaves humans nowhere. Learn about the Bus Factor and how the launch of ChatGPT has changed the landscape on knowledge sharing.
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
Update (12/5): The Google team, along with Gil Kalai, have raised questions about whether the results of the new BosonSampling experiment might be easier to spoof classically than the USTC team tho…
An introduction to the core ideas and approaches
A deep dive into spectral analysis of diffusion models of images, revealing how they implicitly perform a form of autoregression in the frequency domain.
I spent the past ~4 weeks trying out all the new and fancy AI tools for software development.
The Attic is a running catalog of Olup's side projects, sketches, and weekend rabbit holes.
GPT4-V is the new mode of GPT-4 that allows you to upload images as part of your conversations. It’s absolutely brilliant. It also provides a whole new set of vectors …
On Saturday 11th March I wrote about how Large language models are having their Stable Diffusion moment. Today is Monday. Let’s look at what’s happened in the past three days. …
When GitHub Copilot was launched in 2021, the fact that its training data included a vast amount of Open Source code publicly available on GitHub attracted significant attention, sparking lively de…
Reviewing the capabilities and limitations of LLM agents in software development and their impact on skilled and less skilled developers.
Microsoft has made tons of noise about their Microsoft 365 Copilot toolset. They’ve made a lot of promises about its capabilities to enhance individual and team productivity, but access to it…
The other day I saw the launch of Apple Vision Pro, the whole thing was very interesting, but one thing that caught my attention was the finger input. It seems very intuitive, by using the finger pinching as sort of like a cursor or mouse input. I figured I want to try it out, so I took it upon myself to create it.
How does the brain work? While neuroscience provides insights on small-scale processes and overall behavior, we don’t know much for sure about the learning and processing algorithms in between. In this blog post, I will give an introduction to what we know. Let’s take an engineering perspective and play evolution: How…
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