manca

7 ms·

1.
by manca 1y ago
The only problem with this PR/diff is that it creates just a avfilter wrapper around whisper.cpp library and requires the user to manage the dependencies on their own. This is not helpful for novice users who will first need to: 1. git
2.
by manca 1y ago
I literally had the same experience when I asked the top code LLMs (Claude Code, GPT-4o) to rewrite the code from Erlang/Elixir codebase to Java. It got some things right, but most things wrong and it required a lot of debugging to fig
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by manca 1y ago
Elon mentioned that Grok's 4 image and video understanding capabilities are somewhat limited and he suggested a new version of the foundation model is being trained to address these issues. According to the "Humanity's Last E
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by manca 2y ago
Isn't this exactly what Google's new NotebookLM does? Cool idea anyway :)
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by manca 2y ago
When I read lossless, I immediately thought about the editing of the real lossless formats like ProRes, MJPEG2000, HuffYUV, etc. But what this ultimately does it remuxes the original container in a new one without touching the elementary st
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by manca 2y ago
I love projects like this. It shows the true potential of what LLMs and RAG can unlock. Imagine applying the same method on the actual content within the threads and extract the sentiment, as well as summarize the key points of a particular
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by manca 2y ago
This is exactly what https://www.perplexity.ai/ is trying to do. Maybe not "RAGing" the entire internet, but sure using the mapping between natural language query to their own (probably) vector database which cont
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by manca 2y ago
A lot of the answers to your question focus solely on the infra piece of the deployment process, which is just one, albeit, important piece of the puzzle. Each model is built using some predefined model architecture and the majority of the
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by manca 3y ago
If you don't care about the details of how those model servers work, then something that abstracts out the whole process like LM Studio or Ollama is all you need. However, if you want to get into the weeds of how this actually works, I
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by manca 3y ago
I've tried code-llama with Ollama, along with Continue.dev and found it to be pretty good. The only downside is that I couldn't "productively" run the 70B version, even on my MBP with M3 Max with 36GB of RAM (which inter
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by manca 3y ago
Galaksija was truly a "masterpiece" at that time, made by a single person by stitching together various smuggled parts from the West. I have a huge admiration and respect for Voja, especially after he decided to give up everything
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by manca 3y ago
I will always remember when the "Takedown" movie came out. I loved the original "Hackers" and couldn't wait for "Hackers 2" which was Takedown. I had learned about Mitnick few years prior to the movie and
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by manca 3y ago
I've been using Threads since late yesterday and it's been very slow... sometimes it wouldn't even load content when you browse specific profiles (especially the active ones with tens of thousands of followers). So I am not s
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by manca 3y ago
I remember when Evernote launched and everyone was super hyped about it -- even some of the biggest VC names promoted them. Not to mention the funding they raised ($290M). It was literally iOS Notes on steroids. I even used it for awhile, b
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by manca 3y ago
Nicely done. Does Azure Speech to Text also handle speech synthesis and provide out of the box voices for different characters or you had to build your own model to do this? It's impressive if their service can do it all: speech recogn
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by manca 3y ago
Great job. I must say that the speech synthesis sounds pretty realistic. I talked with Jobs, Musk and Obama and liked how they sounded and more importantly how they handled the questions. Do you mind sharing the entire stack you used to bui
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by manca 4y ago
Glad to see this is still going. I was sad to see CodeJam being shut down recently. We need more programs like GSoC and CJ as they encourage students to take a part of something great and contribute to the open source community. My GSoC yea
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by manca 4y ago
This is brilliant. A long time ago when I worked on Windows video apps, I used to use Graph Studio[1] to visualize the video graph comprised of countless DirectShow filters. It occurred to me multiple times that such a tool would be super u
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by manca 4y ago
I've been following Kagi's development for some time now and the idea looks promising. Not sure if the team plans to develop its own crawling engine and index that won't depend entirely on sources such as Google/Bing&#x2
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by manca 4y ago
I agree with this. From my experience most of the data scientists I have worked with didn't exit the world of Jupyter notebooks. For them, code management, CI/CD, dev/stage/prod separation, etc. is a world of its own tha
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by manca 4y ago
My advice is to read "The Bogleheads' Guide to Investing". It's an amazing read written by people who strongly believe in Jack Bogle's (founder of Vanguard) vision to democratize the investment world and make averag
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by manca 4y ago
Interesting concept, but I think Big Query ML [1] has been providing similar features for years now. Curious to learn what are the differences, other than offering this as a Postgres plugin. [1] https://cloud.google.com/bigq
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by manca 5y ago
Are you just interested in the training part and managing the trained models, or you'd actually like to productionize the models and serve them at scale? A lot of end-to-end platforms are available nowadays that try to cover the entire
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by manca 5y ago
Wow. That's a real bummer -- an end of an era. I've been relying on Alexa (as part of various browser extensions over the years) to get a sense of a popularity of a given website for years. Not sure what's the good alternativ
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by manca 5y ago
There is a local company here in Seattle called Pulumi[1]. We've been using their tool extensively over the last 18+ months and it's pleasure to use. It's built on top of Terraform, but it simplifies IaC because you can now w
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by manca 5y ago
Absolutely. In fact, I interviewed a guy last week that comes from very big tech and he basically himself admitted that they're basically wasting time and money chasing unknown "ideal" codec while almost always those projects
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by manca 5y ago
This is a known and hard problem. A lot of companies are trying to internally do some sort of analysis of their own content libraries and intelligently tune their encoders. Netflix is definitely the most known for their tech related to vide
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by manca 5y ago
It's not that simple. Especially if you deal with videos that have open GOPs and have multiple B frames in the GOP. The encoders don't do so great job in those cases. Also breaking the videos up into short chunks is easier said th
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by manca 5y ago
The problem is that most of the big tech thinks they are smarter than 1000's of codec engineers who worked on libx264 and they try to reinvent the wheel. They realize too late that all the money they threw into building their own stuff
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by manca 6y ago
Machine Learning by Dr Ng is a classic. I also loved Algorithms I and II by Tim Roughgarden. Sedgewick's Algorithms are also good.

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