Claude Instant 1.2
claude-instant-1-2-20b5ce5c·4 events·first seen 15d agoAliases: Claude Instant 1.2, Claude Instant, Claude Instant 1.1
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Anthropic releases Claude Instant 1.2 with improved math, coding, and safety
Anthropic released Claude Instant 1.2, an updated version of its faster, lower-cost model tier, now available via API. The release incorporates capabilities from Claude 2 and shows measurable benchmark gains: 58.7% on Codex (vs 52.8% for 1.1) and 86.7% on GSM8K (vs 80.9% for 1.1). Safety improvements include reduced hallucination and greater jailbreak resistance as measured by automated red-teaming.
Anthropic Publishes Quantitative Case Study on Prompt Engineering for Long-Context Recall
Anthropic shares a quantitative case study evaluating prompting techniques to improve Claude's recall over 75,000–90,000 token contexts. Two techniques are tested: extracting reference quotes before answering, and providing few-shot examples of correctly answered questions. The study uses Claude Instant 1.2 on a government document dataset constructed via a 'randomized collage' method, with multiple-choice Q&A pairs generated by Claude itself. Results show measurable recall improvements over a baseline prompt, with methodology and notebooks shared publicly.
Anthropic launches Claude publicly with two model tiers after closed alpha
Anthropic announced the public launch of Claude on March 14, 2023, following a closed alpha with partners including Notion, Quora, and DuckDuckGo. The release introduced two model variants — Claude (high-performance) and Claude Instant (lighter and faster) — accessible via chat interface and API. Early partners reported Claude produced fewer harmful outputs and was more steerable than competing models, with deployments spanning education, legal tech, productivity, and search.
Anthropic expands Claude context window from 9K to 100K tokens
Anthropic announced a roughly 10x expansion of Claude's context window, from 9K to 100K tokens (~75,000 words), available via API. The capability enables processing of hundreds of pages of documents, full codebases, or hours of transcribed audio in under a minute. Anthropic positions this as superior to vector search for complex multi-document synthesis tasks, and partner AssemblyAI demonstrated the feature on a 58K-word podcast transcript.