Llama 3.1, Mistral Large 2, and Emerging Ethical Considerations
Mohammad Arshad
CEO DecodingDataScience.com | ?? AI Community Builder | Data Scientist | Strategy & Solutions | Generative AI | 20 Years+ Exp | Ex- MAF, Accenture, HP, Dell | LEAP & GITEX Keynote Speaker & Mentor | LLM, AWS, Azure & GCP
Llama 3.1 by Meta:
Mistral Large 2 by Mistral AI:
Benchmark Comparisons for Mistral Large 2:
Performance Superiority: Mistral Large 2 demonstrates superior performance in numerous benchmarks compared to other leading models, highlighting its potential as a top-tier open-source language model.
Ethical Concerns in AI:
Content Usage: Ethical discussions include the ramifications of training models on copyrighted content and the potential misuse in creating deepfakes. Responsible AI development and usage are crucial to mitigate these risks.
Grok Platform:
Accessibility: Grok enables users to run Llama 3.1 on their own machines, democratizing access to high-powered AI without substantial infrastructure investments.
Perplexity Integration:
Search Enhancement: Integrating Llama 3.1 into Perplexity aims to provide users with more accurate and informative search results, leveraging the model's advanced capabilities to enhance user experience.
ATRC plans to launch three new tech ventures
Abu Dhabi based Advanced Technology Research Council (ATRC) plans to form three new high profile tech ventures by the end of 2024
The three ventures are focused on transforming data security in the quantum era, smart autonomous mobility, and Agritech with robotic technologies.
Data security venture: focus will include Quantum-secure file, text and email encryption/decryption; Quantum-secure VPN encryption; IAM (identify and access management suite).
Smart autonomous mobility: focus will include automated fleet operations software stack and hardware integration; services to convert fleets of conventional vehicles into autonomous vehicles.
领英推荐
Agritech robotics: high capacity drone seeding for growth; drone mapping for mangrove forest seeding; monitoring the health of mangrove ecosystems via remote sensing.
Anthropic's Data Scraping Controversy:
Ethical Challenges: Accusations of data scraping against Anthropic have sparked discussions about the ethical implications of data acquisition and usage in AI development, emphasizing the importance of transparency and responsible practices.
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Social Media Manager I Influencer I Free Lancer I Personal Branding I Brand Management I LinkedIn Growth #contentcreator #Affiliatemarketing #Facebookbusinessmanager #Digitalmarketingspecialist
3 个月Great insights! Thank you for sharing your expertise on this topic. It's always inspiring to learn from professionals like you. Keep up the amazing work
Aspiring Data Scientist/#BuildwithAI 2024 Hackathon with GenAI Ambassador for Europe and Africa/#BuildwithAI 2024 Hackathon with GenAI Mentor/GenAI Pioneer/
4 个月Thanks for sharing
Freelance
4 个月Insightful!
Info Systems Coordinator, Technologist and Futurist, Thinkers360 Thought Leader and CSI Group Founder. Manage The Intelligence Community and The Dept of Homeland Security LinkedIn Groups. Advisor
4 个月Was a week full of news Mohammad Arshad
More about the AI residency here https://decodingdatascience.com/airesidencyaug