Meet Claude 2 : Anthropic's NEXT GEN Supercharged Model

Summary

This video reviews Claude 2, the new AI model from Anthropic. Anthropic, founded by former OpenAI members, aims to build safe AI. Claude 2 builds on their existing Claude model, substantially improving performance across benchmarks like bar exam questions and coding tasks. It likely still falls short of GPT-4 but closes the gap. The video demonstrates Claude 2's strong reasoning abilities, summarization, and versatility handling different tasks. Anthropic also revealed Claude 2 API pricing, which looks very competitive with OpenAI. The video concludes Claude 2 represents a promising OpenAI alternative, especially for companies wanting on-premise private models.

Takeaways

• 😀 Anthropic released Claude 2, an upgraded version of their Claude model, with improved capabilities over the original Claude model
• 📈 Claude 2 has achieved higher scores on benchmarks like the bar exam, GRE exam, and coding evaluations compared to Claude 1
• 🔢 Claude 2 handles longer inputs up to 100K tokens, allowing more complex reasoning
• 💻 Claude 2 shows significant improvements in coding abilities over Claude 1
• 🛡️ Anthropic focused more on safety aspects in building Claude 2 using techniques like red teaming
• 📜 Customers like Jasper are using Claude models instead of or alongside OpenAI models
• 📊 Claude 2 likely still doesn’t surpass GPT-4 in overall capabilities but reduces the gap
• 💵 Claude 2 pricing is cheaper than OpenAI pricing for similar sized models
• 👩‍💻 The Claude 2 API allows building applications using the models with customized access
• 🤝 Anthropic allows on-prem deployments meeting privacy needs beyond OpenAI offerings

Q & A

What is Anthropic and how did the company get started?

Anthropic is an AI safety company founded in 2021 by former OpenAI researchers who broke off after the release of GPT-3 to focus more on building safe AGI. They felt OpenAI's deals with Microsoft compromised safety.

What was Anthropic's first model release called and what were its capabilities?

Their first model was called Claude which was released in March 2022. Claude had over 50 billion parameters and performed very well, offering strong natural language processing that could be used by businesses as an alternative to OpenAI's models.

How does Claude 2 compare to the original Claude model?

Claude 2 has substantially improved performance over the original Claude across benchmarks like the BAR exam, GRE, and coding tasks. It likely still does not surpass GPT-4 but comes much closer than previous Claude versions.

What safety improvements have been made with Claude 2?

While no model is immune from misuse, Claude 2 utilizes more safety techniques and ideas compared to previous versions. Anthropic focused heavily on red team testing Claude 2 to understand and prevent potential harms.

What is the maximum input length supported by Claude 2?

Claude 2 supports up to 100,000 tokens as the maximum input length, allowing robust usage for lengthy texts.

How does Claude 2 perform on reasoning and logic based questions?

Claude 2 handles reasoning much better than existing open source models, doing very well on logic puzzles and verbal reasoning on par with GPT-3 or better.

What coding abilities were added with Claude 2?

Anthropic focused heavily on improving Claude 2's coding capabilities compared to the original model. It can now complete Python coding tasks, parse JSON, explain code functions etc.

Who are some of Anthropic's customers using Claude models?

Some customers mentioned are Jasper and others wanting privacy focused alternatives compared to OpenAI. The goal is embedding Claude 2 into customer applications.

What are the pricing tiers for Claude API access?

There are three tiers - Claude Instant is $0.005 per 1000 tokens, Claude is $0.32 per 1000, and Claude 2 is $3.20 per 1000 which is still cheaper than OpenAI.

Does the pricing indicate the model size or architecture of Claude 2?

It's unclear if pricing reveals Claude 2's exact size or architecture. It may use a mixture of experts setup similar to GPT-4 but specifics were not shared by Anthropic.