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Meta has developed and launched the Meta Llama 3 family, featuring a series of pre-trained and instruction-tuned generative text models in both 8B and 70B sizes.
Llama 3 supports a larger context window of up to 8,000 tokens, making it more effective for complex natural language processing tasks in software development. Meta's Llama 3 was trained on a massive dataset of over 15 trillion tokens.
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Available models in AI/ML API:
GPT-4: Suitable for a wide range of applications requiring high-quality text generation.
GPT-4-Turbo: Ideal for applications where response time is critical.
GPT-4-32k: This version offering extended context windows which is beneficial for tasks requiring deeper understanding of long texts.
GPT-4-32k-0613: Combines the extended context capability of the 32k version with updates from mid-2023.
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Claude 3 stands as a significant rival to GPT, offering three models—Haiku, Sonnet, and Opus—that prioritize being helpful, honest, harmless, and importantly, safe for enterprise use.
This model strives to surpass earlier versions and competitors, including GPT-4, by excelling in comprehension, speed, multilingual support, and advanced vision features, making it adaptable for a variety of uses.
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Mistral's Mixtral 8x7B and 8x22B models utilize a range of sub-systems to outperform larger models efficiently. With fewer parameters, these models can operate more quickly or on less powerful hardware while still surpassing competitors like Llama 2 and GPT-3.5 in certain benchmarks.
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