Performance Close to GPT-4 Three Ways to Experience Llama 3 Online

24 min read

Llama3

Early Friday morning, Meta unveiled its latest open-source large language model, Llama 3, boasting performance that rivals GPT-4.

Just a few days prior, the CEO of Baidu criticized open-source models, asserting that they couldn't match the capabilities of closed-source counterparts. However, Meta's swift release of Llama 3 seems to have disproven that claim.

Since the release of Sora, OpenAI hasn't introduced any groundbreaking advancements, possibly indicating that they're encountering developmental bottlenecks. Consequently, GPT-5 might not be available until the end of the year.

Introduction to Llama 3

Llama 3 is a series of large language models designed specifically for optimized text generation in conversational settings. Currently, the series includes models with 8 billion and 700 billion parameters, each available in both pre-trained and instruction-tuned versions. These models exclusively accept text inputs and generate text and code as outputs.

The instruction-tuned versions of Llama 3 have surpassed many existing open-source chat models in standard industry benchmark tests. Notably, the 8 billion-parameter model significantly outperforms the previous Llama 2 model, which had 70 billion parameters, setting a new standard in its category.

Llama 3 employs an autoregressive language model design, utilizing an optimized Transformer architecture. The fine-tuned versions undergo supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) to ensure alignment with human preferences in terms of helpfulness and safety.

Based on available information, Llama 3 is not a hybrid model and has a context length of only 8K tokens. While this is modest compared to some models boasting context lengths of up to 200K tokens, accuracy and precision remain paramount. Most use cases do not require such extensive context lengths, and techniques like fine-tuning can potentially enhance the context length if needed.

Three Ways to Experience Llama 3 Online

Deploying Llama 3 independently can be cumbersome and unnecessary for most users. Here are three online platforms where you can experience Llama 3 firsthand:

1. NVIDIA Developer Website

Accessing Llama 3 through NVIDIA's developer site requires no special network configurations or account registrations. Simply visit the following link to start interacting with the model directly:

Explore on NVIDIA Developer

2. HuggingFace

HuggingFace offers another avenue to interact with Llama 3, though it requires registering for an account. Here's how to get started:

  1. Navigate to HuggingFace Chat.
  2. Register for a HuggingFace account if you haven't already.
  3. On the left sidebar, select the desired model.
  4. Click Activate to enable the model.
  5. Define the AI's role as needed.

Once activated, you can engage in conversations with Llama 3. However, it's worth noting that Llama 3's proficiency in Chinese is limited. While it can understand Chinese inputs, it tends to respond in English, even when prompted to use Chinese. Improving its performance in Chinese will require further efforts from domestic companies and communities.

3. Official Llama Website

For those interested in accessing Llama 3 directly from the source, visit the official Llama website:

Visit Llama Official Site

To further explore Llama 3, consider the following resources: