Complete Guide to 2024

benefit	shortcoming
The open model can be customized to suit your business.	Meta used public information to train Llama 3, so like other generative AI, this could produce harmful content or violate copyright laws.
Generate text or images, especially using the Imagine feature to quickly iterate on images.	In our tests, professional emails generated by Llama 3 tended to sound a bit blurry and empty compared to emails written using ChatGPT using GPT-3.5.
Use with your existing cloud provider.	As with other generative AI, training Llama 3 can be time- and resource-intensive if you plan to customize the model.

OpenAI may be better known in the commercial generative AI space, but Meta has carved out a niche by open-sourcing powerful large-scale language models. On April 18, Meta released Llama 3, the largest generative AI model to date, which outperforms GPT-4 on some standard AI benchmarks.

What is Llama 3?

Llama 3 is an LLM created by Meta. It can be used to create Generative AIincluding chatbots that can answer a variety of queries in natural language. Llama 3 was evaluated using use cases including brainstorming, creative writing, coding, summarizing documents, and answering questions in the voice of a specific character or person.

The full Llama 3 model comes in four variations:

• 8 billion parameters pre-trained.
• 8 billion parameter instructions fine-tuned.
• 70 billion parameters pre-trained.
• 70 billion parameter instructions fine-tuned.

Llama 3’s Generative AI feature can be used to In the browser Or through Meta’s AI capabilities in Facebook, Instagram, WhatsApp and Messenger. The models themselves can be downloaded from Meta or from major enterprise cloud platforms.

When will Llama 3 be released? And on which platforms?

Llama 3 was released on April 18 on Google Cloud Vertex AI, IBM’s watsonx.ai, and other large LLM hosting platforms. AWS followed suit, adding Llama 3 to Amazon Bedrock on April 23. As of April 29, Llama 3 is available on the following platforms:

• Data bricks.
• Hugging face.
• Kagle.
• Microsoft Azure.
• NVIDIA NIM.

Llama 3 is supported on hardware platforms from AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm.

Is Llama 3 open source?

Llama 3 is open source, just like Meta’s other LLMs. Creating open source models has always been a big strength for Meta.

View: Stanford University’s Artificial Intelligence Index report shows 8 trends in artificial intelligence in business Today. (TechRepublic)

There is some debate about how much of the code or weights of a large language model needs to be open source, but Meta is being more open with Llama 3 than with its competitor LLM for commercial purposes.

Is Llama 3 free?

Llama 3 is free as long as you follow the Terms of Use license. The model can be downloaded Directly from Meta Or use it with the various cloud hosting services listed above, but these services may have associated fees.

Is Llama 3 multimodal?

Llama 3 is not multimodal, which means it cannot understand data from different modalities such as video, audio, or text. Meta plans to make Llama 3 multimodal in the near future.

Improvements of Llama 3 over Llama 2

To make Llama 3 more powerful than Llama 2, Meta added a new tokenizer to encode language more efficiently. Meta added grouped query attention to Llama 3, a method to improve model inference efficiency. Meta said that the Llama 3 training set is seven times the size of the Llama 2 training set and the amount of code is four times that of Llama 2. Meta applied new efficiencies to Llama 3’s pre-training and instruction fine-tuning.

Since Llama 3 is designed as an open model, Meta has added safeguards for developers. The new safeguard is Code Shield, which is designed to catch unsafe code that the model may produce.

What’s next for Llama 3?

Meta Plan:

• Added multiple languages ​​for Llama 3.
• Expand the Context window.
• Overall enhancing the future capabilities of the model.

Meta is developing a 400B parameter model that may help shape the next generation of Llama 3. In early testing, Llama 3 400B has instruction tuning Score According to Meta, it scored 86.1 on the MMLU Knowledge Assessment, an AI benchmark, which is comparable to GPT-4. Llama 400B will be Meta’s largest LLM project to date.

Llama 3’s place in the competitive field of generative AI

Llama 3’s direct competitors are GPT-4 and GPT-3.5, Google Gemini and Gemma, Mistral AI’s Mistral 7B, Perplexity AI, and other LLMs for personal or commercial use to build generative AI chatbots and other tools. About a week after the release of Llama 3, Snowflake launched an open enterprise AI with similar capabilities called Snowflakes North Pole.

The increasing performance requirements of LLMs such as Llama 3 exacerbate AI-enabled PCs At least some of the models can be run on-device. At the same time, generative AI companies may face increased scrutiny due to their heavy computing needs, which could lead to Climate change is getting worse.

Llama 3 and GPT-4

Llama 3 outperformed OpenAI’s GPT-4 on HumanEval, a standard benchmark used to compare the ability of AI models to generate code with code written by humans. Llama 3 70B scored 81.7, while GPT-4 scored 67.

However, GPT-4 outperforms Llama 3 on the knowledge evaluation MMLU, scoring 86.4 compared to Llama 3 70B’s score of 79.5. Llama 3’s performance on more tests can be found in Meta’s blog post.

Should your organization use Llama 3?

Assuming you’ve decided that generative AI is right for your business, the choice of whether to use Llama 3 may come down to availability. Llama 3 is free to use and has more limited customization than its competitors.

Llama 3 may be more effective at encoding than competitors such as GPT-4 or Claude 3. However, Llama 3 has other competitors in the encoding space. For example, GitHub recently launched Co-pilot work areawhich is custom-made for coding and can create code based on natural language prompts.

If you want a general-purpose open source family of AI models, then Llama 3 might be right for your organization.