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  • 🍎 Apple Unveils OpenELM for Powerful On-Device AI.

🍎 Apple Unveils OpenELM for Powerful On-Device AI.

PLUS: Musk states Tesla is an AI Company

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🗒️ In today`s Projects of AI:

  • Apple Unveils OpenELM for Powerful On-Device AI.

  • Moderna and OpenAI Partner to Revolutionize Drug Developments.

  • Snowflakes Unveils its Own Flagship Generative AI Model ‘Arctic’.

  • Quick Hits ( Breaking and Latest News ).

  • 5 New AI Projects to Try to Boost Productivity.

  • Prompt of the Day [Content Creation]

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Read Time: 2 Minutes 47 Seconds

APPLE

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Apple has quietly released OpenELM, a family of small, open-source language models designed to run efficiently on devices like iPhones and Macs, potentially paving the way for upcoming AI capabilities.

The Details:

  • OpenELM consists of eight models with four different parameters sizes (270M, 450M, 1.1B, and 3B), all trained on public datasets.

  • The model family is optimized for on-device use, allowing AI-powered tasks to be handled without relying on cloud servers.

  • Despite requiring 2x less training data, OpenELM slightly outperforms comparable open-source models like OLMo.

  • Along with OpenELM, Apple has open-sourced CoreNet, the library used to train the models, and models enabling efficient inference and fine-tuning on Apple devices.

Why It Matters: This release feels like another breadcrumb toward Apple`s potential on- device AI moves coming at WWDC. The open-source nature of OpenELM and CoreNet also marks a distinct turn from Apple`s previously restrictive and secretive ways. With everyone getting in on the small model game.
Learn more about what OpenELM could mean for Apple`s AI strategy.

OpenAI

Image: OpenAI

Biotech giant Moderna has announced the expansion of its partnership with OpenAI, aiming to integrate AI across its entire organization to accelerate the development of life-saving mRNA treatments.

The Details:

  • Moderna has developed custom GPT models to tackle a wide range of tasks, from predicting optimal drug doses to branding and internal communication.

  • The company reported the creation of 750 GPTs and 120 ChatGPT conversations per company user each week.

  • Moderna`s CEO, Stephane Bancel, stated that the company is looking to “refdesign every business process” with AI, allowing its 3,000-person team to perform like a workforce of 100,000.

Why it matters: While the application of AI in medical research is a common topic, Moderna`s AI adoption provides a rare glimpse into the practical implementation of these technologies within a major organization. This partnership with OpenAI could not only supercharge the development of revolutionary mRNA treatments but also serve as a blueprint for other enterprises to harness the power of AI systems like ChatGPT within their organizations, potentially transforming various industries.

AI Model

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Snowflake has introduced Arctic, a new large language model optimized for complex enterprise tasks such as SQL and code generation, as well as instruction following, marking the company`s entry into the Generative AI market.

The Details:

  • Arctic utilizes a ‘mixture-of-experts’ (MOE) architecture, with its 480 billion parameters divided into 128 expert subgroups, allowing efficient management of specific tasks with only 17 billion active parameters at a time.

  • This architecture enables Arctic to deliver competitive performance across various benchmarks, outperforming some models from Databricks and nearly matching others from Llama 3 and Mixtral in areas like SQL generation and coding tasks.

  • Arctic has been designed to serve the enterprise market, focusing on creating Generative AI applications that can simply and enhance business operations.

  • The model is available under an Apache 2.0 license, ensuring broad accessibility for personal, commercial, or research purposes, and is offered through Snowflake`s LLM app development service, Cortex.

Why it matters: With Arctic, Snowflake aims to provide enterprises with a powerful generative AI model tailored to their specific needs, enabling enhanced efficiency and productivity across various business operations. This model`s impressive performance on enterprise-related benchmarks, combined with its cost-effective and efficient architecture, positions it as a compelling solution for organizations seeking to leverage the potential of generative AI while minimizing operational costs and complexities.

  • ChatDox is an AI tool for extracting information from PDFs, DOCXs, TXTs, CSVs, and YouTube videos. Users can ask specific questions for instant answers.

  • HyperHuman is an advanced tool for generating animatable 3D faces via text. It is compatible with Blender, Unreal Engine, Unity, and Maya.

  • Codebay offers a user-friendly way to learn Python with a personalized AI tutor, :Ask Dino.” Designed for beginners, it provides interactive lessons on a desktop learning platform, making coding accessible.

  • Strut AI combines AI-powered tools for writers, enabling project management, note-taking, and drafting. It offers a sleek text editor, collaborative features, and customizable voice/tone options, all in a free, writer-focused package.

  • Trace AI, an innovative tool for building OS apps, translates plain language into Swift UI code, enabling quick, efficient app development directly in the browser.

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