hlfshell

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31.
by hlfshell 2y ago
I've worked with this poster before for a few years before moving on to break into a different industry. Fantastic engineer, great person to work for. I highly recommend sending your resume their way.
32.
by hlfshell 2y ago
Go by example is an established favorite. https://gobyexample.com/
33.
by hlfshell 2y ago
Location: San Diego, CA Remote: Preferred unless it's a great fit Willing to relocate: Yes, for the right offer Technologies: PyTorch, Tensorflow, Python, Golang, AWS, GCP, Kubernetes, Robotics, LLMs Resume/CV: https://
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by hlfshell 2y ago
Innovator's Dilemma demonstrated wonderfully right here. If VR is the next big thing, but will take years of niche smaller profit margin products to launch it, established tech companies will struggle to justify the products existence
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by hlfshell 2y ago
The "why" is because people quit environments that are toxic, but hold out if there are signs of improvement. People don't want to quit - it's a large investment of time and investment to job hunt. It's annoying a
36.
by hlfshell 2y ago
We ranked candidates out of four, and this candidate was a four across the board. Experience in our tech stack, demonstrated competency, passed the lunch test, etc. The team was eager to get them started because we were desperate for more h
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by hlfshell 2y ago
Yes. Interviewed someone that the team loved. We said definitely hire. HR said they didn't accept the offer and went elsewhere. What they didn't know is that the person LinkedIn messaged me saying they enjoyed the team, and were d
38.
by hlfshell 2y ago
This is a bit of a misnomer. Each expert is a sub network that specializes in sub understanding we can't possibly track. During training a routing network is punished if it does not evenly distribute training tokens to the correct expe
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by hlfshell 3y ago
Location: San Diego, CA Remote: Preferred unless it's a great fit Willing to relocate: Yes, for the right offer Technologies: PyTorch, Tensorflow, Python, Golang, AWS, GCP, Kubernetes, Robotics, LLMs Resume/CV: https://
40.
by hlfshell 3y ago
Yes and no. LLMs are definitely struggling with long horizon planning in complex situations, and can hallucinate/misunderstand environmental states such that they can recommend nonsensical or impossible steps. But we are starting to
41.
by hlfshell 3y ago
I absolutely adore thess kind of DIY projects, where it becomes easily expandable and gets a good community empowering a feedback loop of better and better features. LTT recently did a video about deej in their recent cheap gadgets video.
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by hlfshell 3y ago
Thanks! Appreciate the kind words. I should have in the next month or so (interviewing and finishing my Master's, so there's been delays) a follow up that follows more advancements in the router style VLA, sensoiromotor VLM, and a
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by hlfshell 3y ago
In October I wrote a blogpost on this subject: https://hlfshell.ai/posts/llms-and-robotics-papers-2023/ ..and plan to do an updated version soon for much of what's been released since. I've also done wor
44.
Representation Engineering and Control Vectors – Neuroscience for LLMs(hlfshell.ai)
4 points by hlfshell 3y ago|1 comments
45.
by hlfshell 3y ago
I'm presenting this at a paper club in San Diego tonight; I wrote this article in preparation. The Representation Engineering paper is fascinating, and I had to write about it and get some experimental hands on time with it.
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by hlfshell 3y ago
I'll admit that I'm impressed it was able to one-shot create a solution to such a complex search problem.
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by hlfshell 3y ago
No one is there yet. We have made enormous jumps with transformer models (language models being integrated in the stack, and vision language models (VLM), and even vision language action models (VLA)). Pair this with recent advances in rein
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by hlfshell 3y ago
I love when people get fascinated by a puzzle and deep dive into it like this. Great article. Similarly I was fascinated by LetterBoxed, another NYT game and took a crack at a solver. https://hlfshell.ai/posts/letter-pu
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by hlfshell 3y ago
No, it's mostly water proof. You wear it through showers and even swimming for 2 straight weeks. The adhesive is pretty good; rarely does it come off on its own prior to say, a week and a half in. It holds 8 hours of data (1 reading pe
50.
by hlfshell 3y ago
Location: San Diego, CA Remote: Preferred unless it's a great fit Willing to relocate: Yes, for the right offer Technologies: PyTorch, Tensorflow, Python, Golang, AWS, GCP, Kubernetes, Robotics, LLMs Resume/CV: https://
51.
by hlfshell 3y ago
The terminology is widely used, and has been for decades, in reinforcement learning; so you're close. The general idea is that your agent, however it is training, has to balance trying new things to possibly find the global maxima inst
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by hlfshell 3y ago
If you consider it like a textbook (very small niche audience for very specialized knowledge) it does kind of match up due to the small expected volume to sell. Authors still gotta eat.
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by hlfshell 3y ago
What? Someone somewhere tried to do something and wasn't the most optimal possible solution? We should just ban their account honestly. Comments like these are antithetical to a strong technical sharing community.
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Nerd Sniped – Solving for Jumbles and Letter Boxed(hlfshell.ai)
1 points by hlfshell 3y ago|0 comments
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by hlfshell 3y ago
Thanks for the kind words and wishes friend!
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by hlfshell 3y ago
I have two main projects that are public ATM with LLMs. The more notable one was experimenting with LLMs as high level task planners for robots ( https://hlfshell.ai/posts/llm-task-planner/ ). The other is a golang
57.
by hlfshell 3y ago
Location: San Diego, CA Remote: Preferred but flexible for the right offer Willing to Relocate: For the right offer Technologies: Robotics, Tensorflow, Pytorch, Python, Golang, GCP, AWS, Kubernetes, Kafka Resume/CV: https://
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Utilizing LLMs as a Task Planning Agent for Robotics(hlfshell.ai)
4 points by hlfshell 3y ago|1 comments
59.
by hlfshell 3y ago
I did a write up of my recent Master's capstone project, wherein I explored LLM agents as task planers for robots. I also explored whether or not there is benefit from implied contextual understanding of the LLMs.
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by hlfshell 3y ago
I can confirm that some companies leave job postings up to seem like they're thriving for optics, and/or to pacify overworked undermanned teams for a bit longer. I have had HR tell me that a candidate everyone loved interviewing f

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