Apple Intelligence date revealed

PLUS: A powerful financial LLM was introduced that you might know about

Author

Jafar Najafov
October 06, 2024 • Read this in 5 minutes

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I’m excited to use the new AI features introduced by Apple.

The new date was revealed and also when can we see the features rolling out to everyone having iPhone.

I’ll share with you everything in this post shortly with other amazing AI story…keep on reading.

In today’s post:

  • Apple Intelligence release

  • FinLLM and why its important

APPLE INTELLIGENCE 📱

Apple is set to roll out its much-anticipated Apple Intelligence features starting this October, but not all the AI tools will be available immediately. Instead, Apple plans a staggered release, starting with iOS 18.1 on October 28, 2024.

Here’s what to expect from the upcoming updates:

Release Timeline for Apple Intelligence Features:

iOS 18.1 (October 28)

iOS 18.2 (December)

iOS 18.4 (March 2025)

Writing Tools: AI-powered grammar checks, rewriting suggestions, and text summaries.

Genmoji: AI-generated emojis based on text or photos.

Siri Overhaul: Personalized and contextual responses

Photo Enhancements: “Clean Up” tool to remove unwanted elements from photos, and Memory Movies based on descriptions.

Image Playground: Create AI-driven images, similar to Google’s Pixel Studio.

Phone Call Recording & Summaries: Auto-transcription of recorded calls.

Siri: Improved comprehension, allowing follow-up questions and on-screen troubleshooting.

Mail: Inbox reorganizations, summaries, and smart replies.

Who Can Access Apple Intelligence?

The AI features will only be available on select devices, including the iPhone 16 models and iPhone 15 Pro/Pro Max. Other iPhones running iOS 18 can still receive updates but won’t support Apple Intelligence features.

Apple begins rolling out these exciting tools with iOS 18.1 later this month, more advanced features like Genmoji and the Siri overhaul will arrive in future updates.

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NEW FINANCIAL LLM

FinLLM is here 📈

Open-FinLLMs is a new suite of financial large language models (LLMs) tailored for complex financial tasks. These models aim to address gaps in existing LLMs by integrating financial knowledge, multimodal data (like text, tables, and charts), and instruction tuning.

Here are the key points:

  • FinLLaMA: Pre-trained on a 52 billion-token financial dataset, it handles financial texts, time series, and tables, offering deep financial insights.

  • FinLLaMA-Instruct: Fine-tuned on 573K financial instructions, it excels in tasks like sentiment analysis, credit scoring, and stock prediction, outperforming GPT-4 in many tasks.

  • FinLLaVA: A multimodal model trained on 1.43 million image-text pairs, designed to analyze financial charts and tables.

The Open-FinLLMs suite shows superior performance across financial benchmarks, trading simulations, and multimodal tasks, making it a powerful tool for financial applications.

Here’s the full paper if you’re interested to read.

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