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Fine-Tuning LLMs for Cybersecurity : Mistral, Llama, AutoTrain, AutoGen, and LLM Agents / with Akhil Sharma.
- Format:
- Video
- Author/Creator:
- Sharma, Akhil, speaker.
- Language:
- English
- Genre:
- Instructional films.
- Educational films.
- Physical Description:
- 1 online resource
- Place of Publication:
- Carpenteria, CA : linkedin.com, 2024.
- System Details:
- Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
- digital
- Summary:
- Explore the intersection of cybersecurity and large language models (LLMs). Learn how to leverage LLMs for open-source intelligence (OSINT), vulnerability scanning, and more.
- Explore the emergent field of cybersecurity enhanced by large language models (LLMs) in this detailed and interactive course. Instructor Akhil Sharma starts with the basics, including the world of open-source LLMs, their architecture and importance, and how they differ from closed-source models. Learn how to run and fine-tune models to tackle cybersecurity challenges more effectively. Gather insights for identifying new threats, generating synthetic data, performing open-source intelligence (OSINT), and scanning code vulnerabilities with hands-on examples and guided challenges. Perfect for cybersecurity professionals, IT specialists, and anyone keen on understanding how AI can bolster security protocols, this course prepares you to embrace the synergy of AI for cybersecurity, unlocking new potentials in threat detection, prevention, and response.
- Participant:
- Presenter: Akhil Sharma
- Notes:
- 10/29/202412:00:00AM
- Access Restriction:
- Restricted for use by site license.
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