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☎️ Call 1-800 ChatGPT (Toll Free)
PLUS: Google's Gemini Accuracy Struggles & IBM's Granite 3.1 Challenge!
Golam Rabbani
December 19, 2024
In partnership with
Welcome, AI Enthusiasts!
What’s Inside:
ChatGPT Lands on WhatsApp and Landlines
Google's Gemini Faces Accuracy Woes
Nvidia Chips Fuel Microsoft’s AI Domination
How to generate blog ideas Using ChatGPT
IBM Challenges Rivals with Granite 3.1 AI Release
Freebies 🎁
Read Time: 3 minutes
FACT OF THE DAY
📈 By 2025, the global AI market will reach $190.61 billion, growing at a 37.3% CAGR. Currently, 35% of businesses use AI, with over 80% planning integration within two years.
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LATEST AI DEVELOPMENTS
CHATGPT
ChatGPT Lands on WhatsApp and Landlines
OpenAI has launched ChatGPT for landline calls via 1-800-CHATGPT, offering 15 minutes of free interaction per month for U.S. users. Additionally, users can now chat with ChatGPT through WhatsApp globally, with a daily usage limit.
The Highlights:
Phone Access: Dial 1-800-CHATGPT to interact with ChatGPT over the phone, powered by OpenAI’s Realtime API.
Free Use Limit: Users receive 15 minutes of free calls monthly, with the option to create additional accounts for extended use.
WhatsApp Integration: A global WhatsApp option provides text-based AI interactions, with plans to add features like image analysis and web search.
Accessibility Focus: OpenAI aims to make ChatGPT widely accessible via familiar platforms.
Feature Origin: The phone feature was developed during a hack week and quickly launched.
Why This Matters:
This expansion of ChatGPT to landlines and WhatsApp enhances accessibility, reaching users without smartphones or advanced devices. It signals OpenAI’s commitment to making AI tools available across diverse platforms while emphasizing simplicity and affordability.
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Google's Gemini Faces Accuracy Woes
Google’s new policy requires contractors working on its Gemini AI to evaluate highly technical responses even outside their expertise. This has raised concerns about the accuracy of AI outputs, especially on sensitive topics like healthcare.
The Highlights:
Policy Shift: Contractors must now rate AI-generated responses even without domain knowledge, previously allowed to skip such tasks.
Evaluation Approach: Contractors evaluate what they understand and note their lack of expertise.
Exceptions: Skipping is only allowed for incomplete prompts or harmful content requiring special consent.
Concerns Raised: Workers fear this change may increase inaccuracies in Gemini's outputs on complex or sensitive topics.
Why This Matters:
Google’s policy risks undermining the reliability of Gemini’s AI responses by relying on evaluators without specialized knowledge, potentially impacting user trust and AI performance in critical areas.
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Key Features:
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AI Meeting Notes: Instant, actionable summaries.
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MICROSOFT
Nvidia Chips Fuel Microsoft’s AI Domination
Microsoft acquired a staggering 485,000 Nvidia Hopper chips in 2024, more than twice the amount purchased by Meta. This marks a significant leap in Microsoft's AI ambitions, with the company also developing its custom AI chips, Maia, and deepening ties with OpenAI.
The Highlights:
Microsoft bought 485,000 Nvidia Hopper chips in 2024, triple its 2023 purchase.
Meta, by comparison, bought 224,000 Hopper chips this year.
Microsoft unveiled its custom AI chip, Maia, in late 2023.
The company participated in OpenAI’s $6.6 billion funding round in October 2024.
Signed a 20-year deal for power from the Three Mile Island nuclear plant to support its data centers.
Why This Matters:
Microsoft's aggressive AI investments, including custom chip development and partnerships, signal its determination to dominate the AI landscape, outpacing competitors like Meta.
PROMPT ENGINEERING
TODAY’S PROMPT:
How to generate blog ideas using ChatGPT
I run a blog aimed at [AUDIENCE] about [TOPIC].
Come up with 10 ideas that I could write about on my blog. For each idea, suggest 3 different titles.
Gather inspiration from other blogs and websites that talk about similar topics.
Results: You'll get 10 blog ideas for your [AUDIENCE] on [TOPIC], each with 3 title suggestions, inspired by similar blogs and websites.
IBM
IBM Challenges Rivals with Granite 3.1 AI Release
IBM has launched Granite 3.1, a series of open-source large language models (LLMs) tailored for enterprise use. Featuring enhanced performance, efficiency, and a groundbreaking 128k context length, Granite 3.1 outperforms rivals like Meta Llama 3.1 and Google Gemma 2. The update integrates advanced features like embedded hallucination detection, positioning IBM as a leader in enterprise AI solutions.
The Highlights:
Performance Boost: Granite 3.1 improves across all benchmarks with optimized efficiency for enterprises.
128k Context Length: Enables processing of longer documents and complex tasks, a leap from the previous 4k limit.
Smaller Models, Greater Capacity: Compact models reduce compute costs while delivering high performance.
Integrated Hallucination Detection: Built directly into the model for enhanced accuracy and fewer errors.
Rapid Embedding: Granite-Embedding-30M-English achieves faster data-to-vector conversion than competitors like Snowflake Arctic.
Continuous Updates: Plans for Granite 3.2 include multimodal capabilities in 2025.
Why This Matters:
IBM’s Granite 3.1 redefines enterprise AI by balancing cost-efficiency with advanced capabilities. Its open-source availability and innovative features like hallucination detection set a new standard for scalable, high-performing AI solutions tailored to business needs.
FREEBIES 🎁
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Signing off,
Until next time,
Golam Rabbani
Founder of ToolsPedia AI
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