The AI Canvas Newsletter #3
Discover AI's new frontiers: ChatGPT's new features, Mistral 7B, and Meta's innovations
This Week in AI: Innovations, Reports, and Features
🗣️ OpenAI's ChatGPT Evolves: Now with Voice and Image Interaction
💡 Mistral 7B: The New Apache 2.0 Language Model Benchmark
🎨 Meta AI's Creative Tools and Personal Assistants
OpenAI: Unlocking the Power of Voice and Images with ChatGPT
OpenAI is introducing voice and image capabilities in ChatGPT, offering users new ways to interact with the AI. You can now engage in voice conversations with your assistant and share images to troubleshoot, plan meals, or analyse data. This evolution aims to enhance user experiences while emphasizing responsible usage and transparency about model limitations. Plus and Enterprise users will gain access first, with wider availability planned soon.
Mistral 7B: A Powerful Apache 2.0 Language Model
Mistral AI recently unveiled Mistral 7B, a 7.3 billion parameter language model that surpasses Llama 2 13B in various benchmarks and offers high performance in code-related tasks. Utilizing Grouped-query attention (GQA) and Sliding Window Attention (SWA) for enhanced efficiency, Mistral 7B is now available under the Apache 2.0 license, allowing users to freely download, deploy, and fine-tune it for a wide range of tasks, including chat.
Read more here.
Meta AI: Creative Tools and Personal Assistants
Meta introduces a fresh wave of generative AI features aimed at enhancing connections and creativity. With these new tools, you can create custom stickers, transform your photos with text prompts, and engage with 28 distinct AIs, each offering unique perspectives on various topics. Additionally, Meta AI, your personal assistant, is now in beta, ready to answer questions, provide recommendations.
Read more here.
Technical Reads & Projects
Inside the Matrix: Visualizing Matrix Multiplication, Attention and Beyond - PyTorch
“Use 3D to visualize matrix multiplication expressions, attention heads with real weights, and more.”
Perhaps AI Is Modern Alchemy. And That’s Not a Bad Thing - Albreto Romero
“One of the criticisms that might hurt AI the most is calling it unscientific.”
3 Ways To Improve Your Large Language Model - Maarten Grootendorst
“Large Language Models (LLMs) are here to stay. With the recent release of Llama 2, LLMs are approaching the performance of ChatGPT and with proper tuning can even exceed it.”
NLP • Hallucination Mitigation - Vinija Jain
“Hallucination in AI text generation is a phenomenon where an AI model produces text that, while often grammatically correct and plausible, is not rooted in the given input or may even be factually inaccurate. This issue is particularly prevalent in systems like GPT-3, where generated details might stray from or even contradict the input.”
RAG — Retrieval as a Multi-Step Process: Optimizing Knowledge Graph and Vector Retrieval - Anthony Alcaraz
“Retrieval systems aim to identify and return the most relevant information for a given query from a large corpus of data. This could involve searching a database of documents, finding pertinent passages from a collection of texts, or retrieving the most useful knowledge from a vast knowledge graph. The challenge is doing this quickly, accurately, and at scale.”
Journey Through the AI Canvas Podcast
Latest Episode of the AI Canvas
The AI Canvas - Generative AI in the Classroom: The Future of Learning with Francisco Recalde
In this enlightening episode of the AI Canvas podcast, host David Foster sits down with Francisco Recalde, Head of the Department of Languages at Dixon's Unity Academy, to explore the transformative effects of AI on education. They discuss AI’s potential in teaching and learning, the fear of AI replacing teachers, and the role of AI as a guide for students.
David Foster
Founding Partner, ADSP
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