Imagine a future where computers can hold nuanced conversations in Japanese, offer graduate-level analysis or maybe explain a 100 page PDF to you like you’re 5 – I think the future came early because we just got Claude 3.
If you’re asking what is Claude 3 i’ve never even heard of a Claude 2, don’t worry sit back, relax and i’ll guide you through the wild world of AI models.
Claude 3 is a family of language models developed by Anthropic. According to Anthropic the Claude 3 language model sets new industry benchmarks for cognitive tasks (This is an important point that we’ll touch on later). The Claude 3 family includes 3 state of the art models Claude 3 Haiku, Claude 3 Sonnet and Claude 3 Opus. Each model in the family offers increased performance, with trade-offs for speed, cost and intelligence with each model.
The scatter plot above represents the relationship between cost and performance for each model in the family.
As i mentioned, Claude 3 sets new industry standards for cognitive tasks. Which in simple terms means, compared to other AI models available on the market Claude 3 is objectively superior and it outperforms other models on most benchmark tests including undergraduate-level knowledge, graduate-level reasoning and basic mathematics.
Heres the scary part; It exhibits near-human levels of comprehension and fluency on complex tasks! All Claude 3 models show increased capabilities in analysis, forecasting and nuanced conversational flow including conversations in non-english languages. And for my developer friends, this includes code generation. This right here is serious stuff.
Some might find it hard to believe that any of this is true, but if you’ve had any experience with large language models (LLMs) you know thats not the case so i wont bore you with the technical details like vision capability, context windows, and recall but here is my experience.
I have worked with AI models in different capacities, i’ve analyzed them from a performance perspective, cost perspective, API usage, integrations with 3rd party, retrieval-augmented generation (RAG), you name it. I haven’t worked with them all, but Claude is easily my current favorite and the most efficient for my needs and Gemini is a close 2nd. I come from the OpenAI world but GPT just doesn’t do it for me anymore.
So why is the Claude 3 announcement important you may ask?
Claude 3, much like other AI models have advanced capabilities and thinking beyond just basic writing, and simple code generation we now have tools that allow us work incredibly fast, take on more responsibility for a fraction of the effort and predict future trends based on data analysis. For employers this means smaller headcount for the same or in some cases greater output, and for employees this means fewer positions available in the market. And for everyone, It’s time to start thinking about how AI can change (or disrupt) your industry.
To read the full product announcement from anthropic, you can check it out here: Introducing the next generation of Claude.