Row 99109

Row ID: 99109 | Dataset Entry | Axioma AXP Content Repository

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I have three and posted but not really getting answers. Hope you can help, I am pretty new to this.

This is around LLMs.

**First question**

I think I have the concept around LLMs, I have been looking at tensorflow and keras and llama2. I know this gets into the detail but I like to roll my own stuff for learning for better or worse. There is a model reader in tensor flow to read llama2 binary files. I still can't get a binary format for it. What is it? Pickle based? I even asked chatgpt and it says there is no format. How can you not have a standard format. What is there if I were to byte by yte look at one. What is an example one from hugging face. Can i visualize a small one?

**Second Question**

Same lines. I am still not clear how people build the llama2 binaries. I need to read more and watch videos. I know there is a binary, they will see wizard of oz and then hey, here is a chat. Hold on, what are all the steps? What are the weights? How are they built? Can I tweak them? Can I pre-train and how?

**Third Question**

With that said, I have a blog, crappy one but I figure I can build MY own llm against that, also tweaked with public book data. What are steps to do that, step by step for dumb newbies. I see steps from wizard oz then cuda, pytorth. I dont know, if it is a simple demo, I wouldn't gpu accel in it.

I also want to build a language, llm around povray ray tracing see here. This is mix of programming and docs. How to do that too? How do they build llms around programming?

[https://www.povray.org/](https://www.povray.org/) Possbly one for libgdx [https://libgdx.com/](https://libgdx.com/)

**OK Fourth Question - Legal**

I am surprised the legal question doesnt come up. I guess it doesn't matter. For example, I see the spaces in hugging face and think, this can't be legal. Some of it. Meaning, taking CNN data and putting it through a LLM. Also, I ask because I want to run my blogthrough a llm and then repost things. But it is my data, it is public to me. But what about reposting llm data from say llama2. What license would allow that?

FieldValue
text I have three and posted but not really getting answers. Hope you can help, I am pretty new to this. This is around LLMs. **First question** I think I have the concept around LLMs, I have been looking at tensorflow and keras and llama2. I know this gets into the detail but I like to roll my own stuff for learning for better or worse. There is a model reader in tensor flow to read llama2 binary files. I still can't get a binary format for it. What is it? Pickle based? I even asked chatgpt a…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-25
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Raw Record

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  "text": "I have three and posted but not really getting answers.  Hope you can help, I am pretty new to this.\n\nThis is around LLMs.\n\n**First question**\n\nI think I have the concept around LLMs, I have been looking at tensorflow and keras and llama2. I know this gets into the detail but I like to roll my own stuff for learning for better or worse.  There is a model reader in tensor flow to read llama2 binary files. I still can't get a binary format for it.  What is it? Pickle based?  I even asked chatgpt and it says there is no format.  How can you not have a standard format.  What is there if I were to byte by yte look at one.  What is an example one from hugging face.  Can i visualize a small one?\n\n**Second Question**\n\nSame lines.  I am still not clear how people build the llama2 binaries.  I need to read more and watch videos.  I know there is a binary, they will see wizard of oz and then hey, here is a chat.  Hold on, what are all the steps?  What are the weights?  How are they built?  Can I tweak them?  Can I pre-train and how?\n\n**Third Question**\n\nWith that said, I have a blog, crappy one but I figure I can build MY own llm against that, also tweaked with public book data.  What are steps to do that, step by step for dumb newbies.  I see steps from wizard oz then cuda, pytorth.  I dont know, if it is a simple demo, I wouldn't gpu accel in it.\n\nI also want to build a language, llm around povray ray tracing see here.  This is mix of programming and docs.  How to do that too?  How do they build llms around programming?  \n\n[https://www.povray.org/](https://www.povray.org/)  \nPossbly one for libgdx  \n[https://libgdx.com/](https://libgdx.com/)\n\n**OK Fourth Question - Legal**\n\nI am surprised the legal question doesnt come up.  I guess it doesn't matter.  For example, I see the spaces in hugging face and think, this can't be legal. Some of it.  Meaning, taking CNN data and putting it through a LLM.  Also, I ask because I want to run my blogthrough a llm and then repost things.  But it is my data, it is public to me.  But what about reposting llm data from say llama2.  What license would allow that?",
  "label": "r/machinelearning",
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}
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