crosen99

8 ms·

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by crosen99 2y ago
I got off a quick GPT trying to explore the following theme, and I think the results are promising: In the ever-evolving landscape of creative expression, a new horizon emerges: AI agents. Imagine authors and publishers releasing these agen
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Show HN: Custom GPT demonstrating a new genre(chatgpt.com)
1 points by crosen99 2y ago|1 comments
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by crosen99 3y ago
Well said, and fully agree. If you horse race two approaches, you can of course arbitrarily arrive at a winner based solely on the version of each approach you choose. You need a deeper look if you want to generalize.
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by crosen99 3y ago
They stumbled into a position where they can make a crap ton of money going up the stack, which can fund the ongoing march toward AGI. (The revenue not only is cash in their pocket, but it’s also driving up their evaluation for future inves
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by crosen99 3y ago
> we've heard that when people were using chains/agents they often wanted to see what exactly was going on inside, or change it in someway. I certainly agree, but I'm having trouble seeing how templates help with this. The
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by crosen99 3y ago
The biggest challenge I’m trying to track isn’t on the list: online learning. The difficulties with getting LLMs to absorb new knowledge without catastrophic forgetting is a key factor making us so reliant on techniques like retrieval augme
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by crosen99 3y ago
You might wonder if these harbingers are actually tuned into an alternate and consistent set of values not shared by the majority, rather than simply irrational consumers. In that same vein, you might wonder if the product managers of thes
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by crosen99 3y ago
Same here. I think it's because you typically conquer a language by developing a fairly complete mental model of that language's behavior, but with CSS there are just too many nooks and crannies to get your had around. While it&
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by crosen99 3y ago
I keep going back to LangChain thinking it just hasn't found its legs yet, but every time I do I retreat exasperated. I don't find their abstractions useful or intuitive, and their documentation is woefully scattered and incomple
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by crosen99 3y ago
Strong disagree. The way I see it, any successful customer service operation needs to have three things in place: 1. Properly defined and articulated customer service policies and procedures 2. A training program that adequately prepares a
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by crosen99 3y ago
> AIs, at their current level of development, don’t perceive objects in the way that we do – they understand commonly occurring patterns. You see this claim everywhere - that AI operates on statistics and patterns and not actual understa
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by crosen99 3y ago
Not substacks, but I start my mornings reading the TLDR and the TLDR AI newsletters. Lots of overlap with the sort of tech that HN covers. TLDR AI is very useful to keep your finger on the rapidly changing pulse in the world of ML.
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by crosen99 3y ago
This “new technique called implicit code execution” sounds a lot like an early version of the ChatGPT Code Interpreter plug-in.
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by crosen99 3y ago
I wanted to give this a whirl by creating an event triggered workflow, but I got stuck pretty quickly. I had imagined creating a workflow that would be triggered by the occurrence of some external event, such as a row being added to a Googl
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by crosen99 3y ago
"Radiologists are not performing 2d pattern recognition - they have a 3d world model of the brain and its physical dynamics in their head. The motion and behavior of their brain to various traumas informs their prediction of hemorrhage
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by crosen99 3y ago
That article links to the below article where Musk lays out his version of the simulation argument. His version is fraught to the brim with confused thinking and non sequiturs, and yet I’ve never seen him called out on it. https:/&#x
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by crosen99 3y ago
I'm surprised not to see anything about data-to-parameter ratios for optimal scaling. My superficial understanding per the Chinchilla paper is to target 20 to 1. I'm also confused about this: > ~$1 million: Cost to train a 13
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by crosen99 3y ago
Could you link to your research and/or describe the models, libraries, data and tests you used for this?
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by crosen99 3y ago
It's amazing how much misinformation and vague information there is on this topic. I tried getting to the bottom of this in the following post in the OpenAI forum: https://community.openai.com/t/fine-tuning-myths-
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by crosen99 3y ago
LLM based autonomous agents remind me a lot of Leonard from the movie Memento. In the movie, Leonard is trying desperately to find the murderer of his wife, but he has one big problem - he can no longer build new memories. So, he needs to
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by crosen99 3y ago
You'd have to be naïve to deny that AI poses a risk that must be taken seriously. But, to think that a moratorium - which would be ignored by those with the greatest likelihood of causing or allowing AI to do harm - is the right answe
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by crosen99 3y ago
In addition to the choices for how to chunk (i.e. defining chunk size, chunk boundaries, chunk overlap, etc.), there's also the question of what actually gets returned once finding the chunks that match. For example, perhaps I have a
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by crosen99 3y ago
The problem I'd like solved is that when I want to retrieve chunks of data for retrieval augmented generation, it's challenging to optimize the choice of embeddings model, chunking strategy, and overall retrieval algorithm. I&#x2
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by crosen99 3y ago
This sounds less like Embeddings as a Service and more like Semantic Search (which happens to be using embeddings) as a Service.
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by crosen99 3y ago
I learned long ago that if the focus of my obsessing is on some future state or accomplishment then I will be anxious, miserable and not at all creative or productive. But if I can direct the obsessing to actual activities I enjoy in the he
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by crosen99 3y ago
Fine-tuning these models reminds me of the good ol' days with tube TVs where the slightest twist of the vertical hold dial meant the difference between a clear picture and useless, dizzying, visual nonsense.
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by crosen99 4y ago
The tensions outlined in this article are very hard to navigate. In some sense it comes down to awareness and handling of "what you don't know you don't know". That skill is arguably a requirement to be a great leader,
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by crosen99 4y ago
ChatGPT quickly and mightily reshaped my brain. In the past, I would have thought to type keywords into the search box, which is what's expected in this case. Instead, my immediate reaction was to ask natural language questions, whic
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by crosen99 4y ago
A big thing for me is going simultaneously top-down and bottom-up. Top-down establishes the high level concepts, underlying motivations, etc. It provides a map of what there is to learn and a scaffolding upon which all new knowledge and con
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by crosen99 4y ago
Gradient descent is just how neural networks (including auto-encoders) optimize parameters to minimize the loss function. They do this using derivatives to descend down the slope of the function. Autodiff is one way to compute the derivativ

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