Meta Llama 3.1: Everything You Need to Know About the Open Source Model
Is it only me ?? or Do I find Mark Zuckerberg better than Sam Altman and people all over the internet called mark the Goat of AI community and it seems like he might be after all by releasing his latest frontier AI model Llama 3.1 405B which seems like it is beating all other top models in benchmarks and its completely open-source nature is what attracts most people
This article is particularly for people interested in AI and wanna know what's happening in tech around the world and it promises to give you a overview to what lies deep in so called AI
So what if its open-source
What difference does it make , most people might ask ???
basically if a software is open source : People have the ability to AIM ( Access-Inspect-Modify ) the software according to the what is needed and there is no place for external and makes the whole thing completely decentralized
In this era , where most of the technology is held by a centralized structure and they extort their power and it all feels kinda dystopian . Having cutting-edge AI technology completely open source increases transparency and any problems can by fixed by the community itself . It makes sure that technology is available for everyone and not concentrated in the hands of a few and enough bs what is even a AI model and how is Llama 3.1 better than the rest
AI model :)
if you have any courses on AI , ML or DL in your college you may see these words used interchangeably and what these 3 mean and lets see if they make any sense (Note : I am no expert and these blogs is where I learn too so any sort of changes or criticism is accepted )
DL is subset of ML which in turn is a subset of AI
Artificial Intelligence - you train machines to simulate human intelligence
Machine Learning - you train machines to make predictions of future events by giving data of past events
- Deep Learning - you train machine to make predictions by recognizing patterns in data
So AI model ??? : It utilizes some data to recognize patterns and is trained to make rational decisions and reaches a particular conclusion like robot the movie but Llama 3.1 is not here to kidnap your girlfriend but to make your life better
I wanna mention some other open source AI models along with llama as i find them astonishing and everyone can use it and develop around it
YOLO
Pytorch and Tensorflow
Currently Learning
BERT ( Bidirectional Encoder Representations from Transformers )
Generative Pre-trained Transformer
ChatGpt is built from this model
Residual Neural Network
Some blogs about all these are soon top be expected guys...So follow or subscribe👌
Why is Llama == GOAT ( pun intended )
Why is Llama 3.1 is better than any other model to make your life of developers better , it is called 405 B version because it has 405 billion parameter. Well i didn't test it out personally but going through some forums and this time mark may have overtook Sam and Llama over took GPT 4-o and GPT 4 in terms of over 150 benchmarks
but in terms of multlingual support it is still kinda bad and the support is been added to it with over eight languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai but as the 95% of training data were apparently english and it still sorts of underperforms in terms of other languages than English
then one more seemingly big upgrade was Llama 3 models were originally with a context window of 8k tokens approx 6k words and but now it got uprgaded to a more modern 128k token context window which is solving a weakness , Llama models had in the past
having a better context window means : imagine your robot reading a story and telling it to you and it forgets the climax of the story because it was too long but now the problem is solved as it can remember more and Llama 3.1 is so much more efficient in longer and bigger tasks like summarizing bigger documents and understanding huge databases
While Llama 3.1 405B is competitive in these evaluations, it does not consistently outperform other models. It performs similarly to GPT-4 and Claude 3.5 Sonnet, winning and losing about the same percentage of evaluations. It falls slightly behind GPT-4o, winning only 19.1% of comparisons.
This is how Llama 3.1 performed in terms of Human evaluation and it
In-depth Arch inside Llama 3.1
it actually goes thorough n number of stages and its typically a iterative process of training and to get the ability to give out a reply which is understandable to the user
its actually built on the standard decoder transformer architecture which many famous LLMs are built and what Llama model does to the traditional structure is removing the mixtures of experts architecture (MOE) which makes it more stable
What does MOE do : it divides the complex task and assigns it to to different experts which is different parts of the model but it can sometimes be inefficient due to parallelism and more inference times
Transformer is type of architecture which might be the reason for one of the greater booms of AI in the coming decade and if you wanna understand how the mechanism works dont forget to read Attention is all you need by Google
One line : A transformer is a type of artificial intelligence model that learns to understand and generate human-like text by analyzing patterns in large amounts of text
Now looking at the workflow
Input Text -> Divided into tokens -> With numerical representations called token embeddings ( below is a representation of text embeddings )
-> It all goes through layers of self-attention where it is supposed to find relations between two different tokens and the context present inside the input and -> this information is forwarded to feedforward network which does the processing and analyzer of the model and this two processes are repeated multiple times to deepen the model power , this particular iterative process enables it to produce a fluent and contextually appropriate response to input
Enough Boring , Get Llama 3.1 Now
You can access Llama 3.1 405B through two primary channels:
Direct download from Meta: llama.meta.com
Hugging Face: Llama 3.1 405B is also available on the Hugging Face platform
If you have read till here , Thanks for reading will be back next week with more geeky ass topics , Follow my socials ✊
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Written by
Tharagaraman Balaji
Tharagaraman Balaji
I'm a pre-final year student passionate about AI and Machine Learning, sharing my journey and insights through my blog on Developer's Odyssey. As I work towards becoming a Generative AI engineer, I'm also building Nova AI, a UI/UX design assistant tool. Follow my posts on Hashnode for tutorials, experiences, and everything AI/ML!