That's Fresh! Newsletter

FROM THE AI WORLD

In less than one month, two state-of-the-art LLMs were released: OpenAI’s GPT-4o and Meta’s Llama 3, so today I'd like to share with you a brief comparison between them.

GPT-4o offers real-time, multimodal interaction, excels in multilingual tasks, and provides enhanced efficiency and safety features. Meta’s Llama 3, with models scaling up to 70 billion parameters, emphasizes open-source innovation and scalability, pushing the boundaries of what open-source AI can achieve.

Comparing the two, GPT-4o supports multimodal input and output, including text, images, audio, and video snapshots, though these features are not yet available via API. Llama 3, on the other hand, currently lacks multimodal capabilities but Meta plans to add them later this year. In terms of context length, GPT-4o takes 128K token window, while Llama 3 8K, which is efficiently utilized.

On benchmarks, GPT-4o impresses with its speed despite added capabilities, while Llama 3 performs well considering its size (8B). Pricing shows GPT-4o as expensive, whereas Llama 3 offers the best performance/cost ratio for most tasks.

In conclusion, both GPT-4o and Llama 3 represent significant advancements in the field of language models, each with unique strengths. Choosing the right model will depend on specific needs, balancing advanced features, context handling, and cost efficiency.

Say hello to new GTP-4o

The new flagship model by Open AI can reason across audio, vision and text in real time. It can be "a step towards much more natural human-computer interaction.

Introducing Meta Llama 3

It's the next generation of their state-of-the-art open source large language model. Company says it is "the most capable openly available LLM to date.

CLEARBOX AI

Datacamp Webinar with CEO Shalini

AI is advancing rapidly, and regulators worldwide are scrambling to understand and control the new technology. Do you want to know more?

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