Perplexity launches Sonar API for AI search

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Welcome to FavTutor’s AI Recap! We’ve gathered all the latest and important AI developments for the past 24 hours in one place, just for you.

In Today’s Newsletter: 😀

• Perplexity launches Sonar API for AI search

• The world's 1st chatbot ELIZA resurrected from 1960s code

• Sakana.ai Introduces Transformer² Self-Adaptive LLM

Perplexity
💡 Perplexity launches Sonar API for AI search

Perplexity has launched an aggressive bid to capture the enterprise AI search market, unveiling Sonar API. On key benchmarks, it outperforms offerings from Google, OpenAI, and Anthropic while also undercutting their prices. Sonar Pro achieved an 85.8 F-score on the SimpleQA benchmark.

Insights for you:

• Perplexity launched the “Sonar” API, allowing enterprises and developers to build the startup's generative AI search tools into their applications.

• The company says the Sonar API also allows enterprises and developers to customize the sources its AI search engine pulls from.

• For reference, Zoom is already using Sonar to power an AI assistant for its video conferencing platform. It allows Zoom’s AI chatbot to give real-time answers, informed by web searches with citations.

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AI Innovation
😲 The world's 1st chatbot ELIZA resurrected from 1960s code

Researchers have successfully revived ELIZA the world’s first chatbot, utilizing original computer code that had been forgotten for nearly 60 years. The breakthrough came in 2021 when researchers discovered Joseph Weizenbaum's original ELIZA code buried in MIT's archives.

Insights for you:

• Researchers have successfully restored ELIZA, the world's first chatbot from the early 1960s, and made it run on an emulated operating system from that era.

• Initially, ELIZA functioned as a simple communication model, mimicking a therapist by responding to user inputs with questions and creating a dialogue that resembled sessions with a human therapist.

• Weizenbaum wrote ELIZA in a now-defunct programming language he invented, called Michigan Algorithm Decoder Symmetric List Processor (MAD-SLIP), but it was almost immediately copied into the language Lisp.

Sakana
🤖 Sakana.ai Introduces Transformer² Self-Adaptive LLM

Japanese AI company Sakana AI has introduced Transformer², a new approach to help language models adapt to different tasks. Transformer² utilizes a two-step process to adapt its weight matrices in real time, tailoring its operations for specific tasks such as mathematics, coding, reasoning, and visual understanding.

Insights for you:

• Sakana AI introduces Transformer², an approach for language models that can adapt more flexibly to new tasks using expert vectors trained with Singular Value Fine-Tuning (SVF).

• Transformer² learns optimal expert vectors through reinforcement learning and can combine them using different strategies to efficiently adapt to new tasks.

• In tests, Transformer² outperformed LoRAs by up to 16% on mathematical tasks while requiring significantly fewer parameters.