cross-posted from: https://lemmy.world/post/1750098
Introducing Llama 2 - Meta’s Next Generation Free Open-Source Artificially Intelligent Large Language Model
It’s incredible it’s already here! This is great news for everyone in free open-source artificial intelligence.
Llama 2 unleashes Meta’s (previously) closed model (Llama) to become free open-source AI, accelerating access and development for large language models (LLMs).
This marks a significant step in machine learning and deep learning technologies. With this move, a widely supported LLM can become a viable choice for businesses, developers, and entrepreneurs to innovate our future using a model that the community has been eagerly awaiting since its initial leak earlier this year.
Here are some highlights from the official Meta AI announcement:
Llama 2
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases.
Our models outperform open-source chat models on most benchmarks we tested, and based on our human evaluations for helpfulness and safety, may be a suitable substitute for closedsource models. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama 2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs.
Llama 2 pretrained models are trained on 2 trillion tokens, and have double the context length than Llama 1. Its fine-tuned models have been trained on over 1 million human annotations.
Inside the Model
With each model download you’ll receive:
- Model code
- Model Weights
- README (User Guide)
- Responsible Use Guide
- License
- Acceptable Use Policy
- Model Card
Benchmarks
Llama 2 outperforms other open source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests. It was pretrained on publicly available online data sources. The fine-tuned model, Llama-2-chat, leverages publicly available instruction datasets and over 1 million human annotations.
RLHF & Training
Llama-2-chat uses reinforcement learning from human feedback to ensure safety and helpfulness. Training Llama-2-chat: Llama 2 is pretrained using publicly available online data. An initial version of Llama-2-chat is then created through the use of supervised fine-tuning. Next, Llama-2-chat is iteratively refined using Reinforcement Learning from Human Feedback (RLHF), which includes rejection sampling and proximal policy optimization (PPO).
The License
Our model and weights are licensed for both researchers and commercial entities, upholding the principles of openness. Our mission is to empower individuals, and industry through this opportunity, while fostering an environment of discovery and ethical AI advancements.
Partnerships
We have a broad range of supporters around the world who believe in our open approach to today’s AI — companies that have given early feedback and are excited to build with Llama 2, cloud providers that will include the model as part of their offering to customers, researchers committed to doing research with the model, and people across tech, academia, and policy who see the benefits of Llama and an open platform as we do.
The/CUT
With the release of Llama 2, Meta has opened up new possibilities for the development and application of large language models. This free open-source AI not only accelerates access but also allows for greater innovation in the field.
Take Three:
- Video Game Analogy: Just like getting a powerful, rare (or previously banned) item drop in a game, Llama 2’s release gives developers a powerful tool they can use and customize for their unique quests in the world of AI.
- Cooking Analogy: Imagine if a world-class chef decided to share their secret recipe with everyone. That’s Llama 2, a secret recipe now open for all to use, adapt, and improve upon in the kitchen of AI development.
- Construction Analogy: Llama 2 is like a top-grade construction tool now available to all builders. It opens up new possibilities for constructing advanced AI structures that were previously hard to achieve.
Links
Here are the key resources discussed in this post:
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This particular announcement is exciting to me because it may popularize open-source principles and practices for other enterprises and corporations to follow.
We should see some interesting models emerge out of Llama 2. I for one am looking forward to seeing where this will take us next. Get ready for another wave of innovation! This one is going to be big.
This is such a tough one. On one hand Facebook has never done anything to help anyone not named Zuckerberg. On the other hand, most LLM processors are closed source. Maybe it has a call home function for data but my guess is that they will use this to get companies hooked and then offer a paid SaaS version that is much more capable and thus cements their technology as a major player. I am fine with that approach as long as the original is open source and available to the community who can fork.
Hm, React is also open-source - it’s under the MIT license. A lot of people have jobs and develop or use products made with it. Probably there are other good examples that I’m not aware of.
However, here the license is more restrictive:
I wouldn’t say that’s a crazy requirement. A lot of businesses still could use it free of charge, because few have 700 million or more monthly active users. Besides, from the given text I’m not sure if this applies to the current version of the LLM or not.
You can’t fork it and change the license. You can’t use it to develop another LLM either:
So yeah, while they want to protect their commercial interests and put some restrictions in place, we should discuss the actual license agreement instead of talking about trust and beliefs. To me, it doesn’t look bad.
I actually forgot about React so you have a very valid point there. I also use Roscksdb so that is also appreciated. My response was more of a gut reaction based upon FB as an organization. I lack trust in them much like I do with Oracle while still occasionally using Oracle Linux.