Here are your weekly articles, guides, and news about NLP and AI chosen for you by NLPlanet!

😎 News From The Web

• Stability AI releases StableStudio in latest push for open-source AI. Stability AI has launched StableStudio as part of its open-source AI efforts. StableStudio is a new open-source variant of its DreamStudio AI text-to-image web app.

• Introducing the ChatGPT app for iOS. ChatGPT released iOS app with open-source speech recognition for subscribers.

• Zoom will soon integrate Anthropic’s chatbot across its platform. The article discusses the integration of Anthropic's chatbot into Zoom's platform, which could have potential implications for the use of artificial intelligence in video conferencing.

• Apple reveals new accessibility features, like custom text-to-speech voices. An established leader in mainstream tech accessibility, Apple emphasizes that these tools are built with feedback from disabled communities.

• Meta bets big on AI with custom chips and a supercomputer.

  Meta lifted the curtains on its efforts to develop in-house infrastructure for AI workloads, including generative AI.

📚 Guides From The Web

• Auto-Evaluation of Anthropic 100k Context Window. Anthropic's 100k-token Claude model sparks debate on whether document retrieval is necessary for Q&A. The retriever-less architecture performs well but has higher latency than retriever-based approaches, and is most suitable for small corpora and non-critical latency apps.

• The "Three-Hills" Model for evaluating GPT startups. "Three-Hills" Model assesses success of GPT startups with "Productivity Enhancements," "Non zero-sum-game Value," and "Moat = Value from Context" in 3 levels. It identifies 3 moat categories to avoid generic GPT displacement.

• ChatGPT vs. Bard: A realistic comparison. The article compares ChatGPT and Bard's performance through an unscientific field experiment.

🔬 Interesting Papers and Repositories

• ray-project/llm-numbers: Numbers every LLM developer should know, like: GPT-3.5 Turbo vs OpenAI cost, 13B model training on 1.4T tokens, average tokens/word, GPU memory, LLM requests batching.

• microsoft/guidance: Microsoft's Guidance Language streamlines the creation of precise and parseable outputs with features such as smart caching, role-based models, and token healing.

• Tree of Thoughts: Deliberate Problem Solving. Introducing "Tree of Thoughts" framework to language models improves problem-solving by exploring text units, optimizing tasks like planning or search.

• CodeT5+: Open Code Large Language Models for. Introducing CodeT5+: flexible Code LLMs for various code-related tasks with a mix of pretraining objectives, achieving state-of-the-art performance. Also explores instruction-tuning.

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