Is AI really getting dumber? Llama2 vs GPT-4

TL;DR

Llama 2, a new language model developed by Meta and Microsoft, offers a large number of parameters and a commercial license, making it a cost-effective alternative to the GPT-4 model for developers.

Transcript

it is July 20th 2023 and you're watching the code report I'm old enough to remember the good old days when I could ask chatgpt how to build a large yield nuclear weapon and I'd say sure here's a step-by-step manual but nowadays it won't even tell you how to cook rice because cooking is an extremely dangerous process that could result in harm to you... Read More

Key Insights

• 🤖 The performance of GPT-4 has been accused of degrading over time, suggesting that there may be some truth to these claims.
• 🦙 Llama 2, a new family of large language models released by Meta in partnership with Microsoft, has 70 billion parameters and a commercial license, providing near GPT-4 capabilities at a fraction of the cost.
• 🤝 Meta and Microsoft collaborated on the release of Llama 2, and the model can be run and fine-tuned on Azure Cloud.
• 🔥 When compared to GPT-4 and Google's generative AI tool, Llama 2 delivered the most verbose and well-written responses, but it may lack sophistication in certain areas.
• 🏆 Llama 2, being an open-source model, is likely the best option for actual benchmarks compared to other options.
• 📝 The technical details paper released by Llama 2 provides valuable insights on how the model works and mentions the word "safety" 299 times.
• ⬇️ Traffic to the ChatGPT site declined for the first time by 10% last month, indicating a decrease in interest.
• 🧩 The performance of ChatGPT varies over time, with code generation becoming more verbose and less executable, though it showed marginal improvements in visual reasoning. The guardrails of AI are becoming more sophisticated and harder to bypass.

Questions & Answers

Q: How does Llama 2 compare to GPT-4 and Google's generative AI tool?

Llama 2, although slightly less sophisticated in some aspects, offers a commercial license and impressive generative capabilities, making it a cost-effective alternative to GPT-4. Comparisons between the three models showed diverse strengths and weaknesses, with Llama 2 being more verbose and well-written.

Q: How does reinforcement learning from human feedback make Llama 2 safer?

Llama 2 incorporates reinforcement learning from human feedback, where actual humans rank the outputs, enhancing safety and preventing the generation of harmful content. This approach helps lobotomize the AI in order to avoid undesirable actions.

Q: Why did traffic to the chat GPT site decline by 10% recently?

The traffic decline to the chat GPT site could be attributed to the release of Llama 2, which offers similar capabilities but with a cost-effective commercial license. Users may have shifted their usage in favor of Llama 2.

Q: How does Llama 2 perform in code generation tasks?

A recent study found that Llama 2's code generation results became increasingly verbose and less directly executable over time. However, for open-source models, Llama 2 remains one of the best options available. It provides technical details in a useful research paper, unlike OpenAI's marketing materials.

Q: Does Llama 2 exhibit improvements in visual reasoning?

While Llama 2 may not be getting "dumber," the guardrails and safety measures placed on the model are becoming more sophisticated. However, there were marginal improvements observed in Llama 2's visual reasoning abilities during the study, indicating ongoing progress and refinement.

Summary & Key Takeaways

• Meta and Microsoft partnered to release Llama 2, a family of large language models with a commercial license.

• Llama 2 has 70 billion parameters and a token length of 4,000, offering powerful capabilities.

• Comparisons were made between Llama 2, GPT-4, and Google's generative AI tool, showcasing their strengths and weaknesses.