Last year, we took our first steps into the exciting world of Generative AI with Llama 2. What a ride it's been! We've experimented with a dozen different LLMs, from the well-known GPTs to Claude, and each one amazed us with its capabilities.
Fast forward to today, and the LLM community is celebrating a huge milestone: Meta just rolled out Llama 3. Mark Zuckerberg put it perfectly: "The smallest Llama 3 is as big as the biggest Llama 2." That's a massive leap forward! This is a huge win for open source. We can’t wait to dive deeper into what Llama 3 can do.
🚀Meet Llama 3: Bigger, Better, Smarter
Here’s the scoop on Llama 3:
👉More Words, Less Space: The new tokenizer in Llama 3 can handle 128K tokens, way up from Llama 2’s 32K. This means it can process information more efficiently, making everything smoother and faster.
👉Architecture: Every model in the Llama 3 lineup, big or small, uses something called Grouped Query Attention. This smart technology helps the model think and react faster, using less memory to do so.
👉Sequence Length: Llama 3 can remember up to 8192 tokens at once. That's double what Llama 2 could handle! It's not as high as the top dogs like GPT-4, but it's a big step up for handling longer conversations and more complex ideas.
👉Richer Training: Meta has beefed up Llama 3’s training with 15 trillion tokens. This isn't just more data; it's better data, with more code snippets and a splash of languages from around the world, making it more inclusive.
👉Power-Packed Performance: With 16K GPUs at work, Llama 3 cranks out operations at 400 TFLOPS. That's a lot of number crunching, handled really efficiently, thanks to some serious engineering magic.
Llama 3 is not just a new model; it's a major leap in making AI more powerful and accessible, opening doors to exciting possibilities.
