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Linkedin User's Best and Recent LinkedIn Posts
Hyperly.ai
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Linkedin User
@searchguy
9 months ago

Gemma is making waves in the AI community! According to Sebastian Raschka, PhD, the 7B model is a strong contender that could potentially

38 1 40
1 comments
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Sebastian Raschka, PhD
@sebastianraschka
4 months ago

If you are looking for something to read this weekend, I am happy to share that Chapter 7 on instruction finetuning LLMs is

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1.9k 137 2.1k
54 comments
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Sebastian Raschka, PhD
@sebastianraschka
4 months ago

If you are looking for something to read this weekend, I am happy to share that Chapter 7 on instruction finetuning LLMs is

2.1k 152 2.3k
58 comments
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Sebastian Raschka, PhD
@sebastianraschka
4 months ago

A lot has happened last month: Apple announced the integration of on-device LLMs, Nvidia shared their large Nemotron model, FlashAttention-3 was announced, Google's

859 59 955
37 comments
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Sebastian Raschka, PhD
@sebastianraschka
4 months ago

Yesterday's Llama 3.1 release marked a big milestone for LLM researchers and practitioners. Llama 3.1 405B is the biggest and most capable LLM

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1.4k 149 1.6k
36 comments
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Sebastian Raschka, PhD
@sebastianraschka
4 months ago

If you are looking for something to play with this weekend, all Llama 3.1 models are now supported in our LitGPT open-source LLM

536 31 571
4 comments
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Sebastian Raschka, PhD
@sebastianraschka
4 months ago

One of the advantages of Meta AI's updated Llama 3.1 license is that it now permits using Llama 3.1 models to improve other

1.2k 77 1.3k
16 comments
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Sebastian Raschka, PhD
@sebastianraschka
3 months ago

I don't post tutorials (that) often, but hey, I just saw that I got 30k subscribers on YouTube! If you're looking to learn

1.8k 121 2.0k
30 comments
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Sebastian Raschka, PhD
@sebastianraschka
3 months ago

There are hundreds of LLM papers each month proposing new techniques and approaches. However, one of the best ways to see what actually

1.4k 101 1.5k
35 comments
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Sebastian Raschka, PhD
@sebastianraschka
3 months ago

If you're looking for a new open-source library to explore this upcoming weekend, my team at Lightning AI recently launched LitServe, a Python-based

954 50 1.0k
39 comments
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Sebastian Raschka, PhD
@sebastianraschka
3 months ago

If you're looking for a new open-source library to explore this upcoming weekend, my team at Lightning AI recently launched LitServe, a Python-based

838 45 918
35 comments
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Sebastian Raschka, PhD
@sebastianraschka
3 months ago

If you’d like to spend a few hours this weekend to dive into Large Language Models (LLMs) and understand how they work, I've

2.6k 208 2.9k
63 comments
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Sebastian Raschka, PhD
@sebastianraschka
3 months ago

If you’d like to spend a few hours this weekend to dive into Large Language Models (LLMs) and understand how they work, I've

2.6k 207 2.9k
63 comments
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Sebastian Raschka, PhD
@sebastianraschka
3 months ago

There are many ways to implement the multi-head attention mechanism used in LLMs. I recently added an implementation based on torch.einsum for the

Einstein summation

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763 45 830
22 comments
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Sebastian Raschka, PhD
@sebastianraschka
2 months ago

Last week, there was a discussion about a new LLM that was said to be "the world's top open-source model." The name of

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744 54 831
33 comments
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Sebastian Raschka, PhD
@sebastianraschka
2 months ago

I'm excited to announce that after 1.5 years of hard work, the final version of "Build A Large Language Model From Scratch" has

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3.2k 122 3.5k
191 comments
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Sebastian Raschka, PhD
@sebastianraschka
2 months ago

I’m happy to confirm that the physical copies have started shipping. Happy weekend, everyone!

P.S. I’ll be at the PyTorch Conference in SF

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1.8k 16 1.9k
91 comments
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Sebastian Raschka, PhD
@sebastianraschka
2 months ago

I’m happy to confirm that the physical copies have started shipping. Happy weekend, everyone!

P.S. I’ll be at the PyTorch Conference in SF

1.5k 14 1.6k
67 comments
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Sebastian Raschka, PhD
@sebastianraschka
about 1 month ago

Previously, RAG systems were the standard method for retrieving information from documents. However, if you are not repeatedly querying the same document, it

1.6k 132 1.8k
36 comments
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Sebastian Raschka, PhD
@sebastianraschka
about 1 month ago

I just put together a short Jupyter notebook with tips and tricks for reducing memory usage when loading larger and larger models (like

4.9k 348 5.3k
98 comments

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