Claude 3 beats GPT-4 on benchmarks, offering faster response with nuanced understanding and improved accuracy. It outperforms its competitors and excels in multilingual analysis, forecasting, and vision. CLA 3 Opus even surpasses GPT-4 by significant margins in various benchmarks. It’s smarter, faster, and more affordable. A game-changer in AI.ππ₯
The Innovations of Claude 3 π
anthropic has introduced Claude 3 it is the next generation of Claude llm you can also try it out it’s already available over here so what is special about clot 3 so there are three versions of clot 3 and all three are state of art uh which is the CLA 3 hu CLA 3 Sonet CLA 3 Opus each successive model offers increasingly powerful performance allowing the users to select the optimal balance of intelligence speed and cost so what is very special about clot 3 it currently beats GPT 4 on a lot of benchmarks the uh CLA 3 Opus which is the largest model in the CLA 3 family it beats gp4 on almost all the benchmarks right and uh by significant numbers in some benchmarks like codal over here you can see that you know uh uh uh uh for coding right gp4 is 67% in zero shot whereas CLA 3 Opus is 84 even Cloud 3 hu is 75 right among your uh grade school math it’s like 95 3 points over gp4 right among graduate level reasoning it is 50.4% right and uh in MML Benchmark it is 86.8% which is almost on par with gp4 slightly better than gp4 okay but what they are saying is that this model is much more better uh it outperforms its Spears right and uh it is also good in uh multilingual um you know like non-english languages like Spanish Japanese and French it also shows increased uh capabilities in analysis and forecasting nuanced content creation code generation and so on okay and the results are kind of near instant uh so what they’re saying is that for most of the workloads Sonet is 2x faster than CLA 2 and CLA 2.1 so it is much faster than their existing models Opus delivers similar speeds to claw 2 and 2.1 okay it has got strong Vision capabilities also so you can actually do uh it is multimodel okay it can process a wide range of visual formats including photos charts graphs so I actually tested it out over here.
Key Takeaways:
- Three versions – CLA 3 hu, CLA 3 Sonet, CLA 3 Opus
- Beats GPT-4 on various benchmarks
- Offers high performance, speed, and cost balance
Vision Capabilities of Cloud 3 ποΈ
I tested it out over here so I gave this mem as in images and input and I said explain this meme you can test it out in cloud. a chat basically you can test over here so I uploaded this meme image and it was able to explain it properly that this meme satirically constract uh the vast accumulation of human knowledge and practical skills built over 500 years of civilization with the rise of large language models like chat GPT that can seemingly match match or exed human capabilities in many domains okay so it explains this meme uh this image very well.
Model Comparison:
| CLA Model | Speed |
|---|---|
| Hu | 2x faster than CLA 2 |
| Opus | Similar speeds to CLA 2 and 2.1 |
Multimodal Capabilities of Sonet πΈ
I tested another PDF where I uploaded a PDF of a paper of zire llm and I asked like what does this document talk about it describes nice summary over here talks about zier and what is it then I ask like what is special about DPO so the key aspect is direct preference of optimization right and it talks about that over here so kind of gives a good response over here okay so this is my limited testing and uh what they’re saying over here is that uh we are particularly excited to provide this new modality to Enterprise customers some of who have up to 50% of their knowledge bases encoded in various format such as PDF flowcharts or presentation so it is multimodel model now and and what they’re saying is fewer refusals earlier models may have refused A lot of queries now CLA 3 Model show a more Nuance understanding of requests recognize real harm and refuse to answer harmless prompts much less often may not be true because uh it didn’t identify the people in this image probably it is not supposed to do it right it said that I couldn’t uh identify the people over here individuals as per their guidelines so may not be true right it still does refusals uh and then uh they talk about improved accuracy on hard questions okay I’ll not go too much into it they talk about this context of 200k context window upon launch so that is very long context and they say that uh they get near perfect recall on you know uh your long context okay the needle in a Haack evaluation measures a model’s ability to Accurate recall information for
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