Llama 2 has a New Competitor 🐐

Today’s top AI Highlights:

1. Adept’s New Opensource Model in Direct Competition to Llama 2

2. Claude Supercharged at 5X more Power

3. Language Agents for the AI Era

4. A Rising AI Research Lab Making LLMs with “Robust Reasoning”

& so much more!

Read time: 3 mins

Latest Developments 🌍

Persimmon-8B by Adept 🍊

Adept has open-sourced Persimmon-8B, a fully permissively licensed language model with fewer than 10 billion parameters. The code and weights are publicly accessible.

Key Highlights:

• The model is trained on 737B tokens, a mix of text and code data, only 0.37x as much data as a comparable model but still performs well.

• Persimmon-8B has an impressive context size of 16K, and offers several unique features, including 70k unused embeddings for multimodal extensions and sparse activations.

• Persimmon-8B outperforms LLama 2 and MPT 7B Instruct in most metrics. Even the base model performs comparably to LLama 2 despite using less training data.

Claude Pro by Anthropic 🔥

Anthropic has introduced "Claude Pro", a paid plan currently available in the US (for $20 per month) and UK (for £18 per month), offering 5x more usage of Claude 2, priority access, and early access to new features.

The AI Company at the Forefront of Reasoning 💡

A new AI research lab, Imbue, has raised an $200 million in Series B round at over $1 billion valuation, solidifying its position as a leading player in the field.

Key Highlights:

• The lab is focused on developing AI systems with ‘robust reasoning’ and coding capabilities to tackle significant real-world tasks.

• Imbue's approach includes training ‘very large’ models with over 100 billion parameters, optimized for reasoning, and building its AI tooling for debugging and interfaces.

• The ultimate goal is to provide a platform for people to create their custom AI models and agents that can understand goals, communicate proactively, and work on tasks in the background.

CoALA for Advanced Language Agents 🐨

Princeton University researchers have unveiled CoALA, a revolutionary framework to addresses the limitations of LLMs in understanding worldly knowledge and interacting with external settings.

Key Highlights:

• CoALA enables Language Agents to utilize LLMs for sophisticated sequential decision-making.

• The framework draws parallels between production systems and cognitive architectures, both of which involve iterative rule-based processes, and the researchers suggest that these concepts can be adapted for LLMs.

Tools of the Trade ⚒️

• Neptune AI: MLOps tool to track, compare, and share models, supporting various frameworks, live training monitoring, reproducibility, and integration with popular libraries.

• Archbee: AI-powered documentation platform to create and maintain docs, answer user and developer questions, enhance content collaboration, and more.

• AIproval: AI validation platform that ensures model accuracy, ethics, and compliance, offering real-time feedback, and automated bias detection.

• Cosmos: Video cataloging tool to simplify video organization and search footage, with semantic video search and automated content trimming.

• Bugs, Anecdote: Never miss a bug again by plugging in 50+ customer feedback sources, a single dashboard for analysis, and receive AI-driven bug reports.

Hot Takes 🔥

• It doesn’t help discussion that AI is the worst possible label: 🤖Meant something completely different to most people in 2022 (complex data analysis) than today (LLMs). And meant different things before that 🤖Many odd uses in popular culture 🤖Has little to do with intelligence ~ Ethan Mollick

• Most people relate to the dangers of superhuman AGI based on their intuition of what they would themselves do to humanity and life on earth if they themselves became a superhuman artificial intelligence. This is why doomers are sus ~ Joscha Bach

Meme of the Day 🤡

That’s all for today!

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