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Meta released the Llama series of LLMs, followed by the popularity of OpenAIs ChatGPT.
Llama 2 is now freely available for everyone to use and experiment with generative AI technology.
What is Llama 2?
Llama 2 is a collection of LLMs built by Meta.
An LLM is a specific throw in of neural connection trained to handle language-related inputs and respond likewise.
Llama 2, although available for personal use, is primarily aimed at business professionals.
It will help developers to swiftly make their own generative AI-based apps.
How Does Llama 2 Work?
Llama 2 is an autoregressive language model based on transformer architecture.
The base model, Llama 2, needs fine-tuning to serve specific use cases.
The specific hardware requirements depend on the desired speed and jot down of task.
Tensor parallelism involves running large scale neural networks by dividing workload across multiple devices.
On the software front, Llama 2 is officially supported only on Linux.
Still, unofficial support for other operating systems is there.
Likewise, MLC LLM also supports Android and iOS in addition to major desktop platforms.
How to Use Llama 2?
Next, configure inference parameters, fine-tune the model, evaluate with test data, and deploy.
Third-party platforms:This is the simplest method to test how these models might perform.
There are websites likellama2.aithat allow selecting the model, adjusting inference parameters and testing.
Heres a table summarizing a few important differences among them.
This gives developers the freedom to build their applications on top of Metas LLM.
Llama 2 performed on par with GPT-3.5, except for coding-related tasks.
The major incentive for deploying Llama2 still remains it is open source and free.
Go With Llama 2!
Llama 2 is primarily aimed at businesses but requires further improvement before becoming popular.
It can also be integrated with Metas metaverse apps to enhance conversations and interactions in virtual environments.
GPT-4 is better than Llama 2 in answering multiple domain-specific queries, mathematics, and coding tasks.
Yes, Llama 2 is available for commercial use.
Llama 2 has been trained in 27 languages, but its support for languages other than English is limited.
There are community projects available for searching for additional language support.
The Llama 2 architecture differs from Llama 1 in various aspects.
Additionally, larger Llama 2 models utilize Grouped-Query Attention for enhanced inference scalability.
