Description for LLMs An Introduction
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Google Cloud
Duration: 1 hour (approximately)
Schedule: Flexible
Pricing for LLMs An Introduction
Use Cases for LLMs An Introduction
FAQs for LLMs An Introduction
Reviews for LLMs An Introduction
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for LLMs An Introduction
The tool offers tailored legal language models to address complex legal scenarios, ensuring optimal performance, productivity, and adaptability across different jurisdictions and legal systems.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.
Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.
GitFluence utilizes AI to recommend Git commands based on user input, offering an intuitive interface for developers to streamline version control tasks, enhancing productivity while addressing varied proficiency levels and learning needs.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Learn how to use Gemini for Google Workspace to boost productivity and efficiency in Gmail through its generative AI features.
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
Featured Tools
This course offers a structured Python introduction for individuals who are not majoring in computer science. The course concentrates on data analysis and visualization, with practical, cross-disciplinary applications.
The training program incorporates fundamental techniques, tools, and methodologies for formulating effective prompts aimed at enhancing the performance of large language models.
Learn to effectively use TensorFlow for constructing and optimizing neural networks, including applications in computer vision with convolutional techniques.
Explore the use of generative AI for creating and optimizing code, employing tools like IBM Watsonx Code Assistant and GitHub CoPilot, while addressing associated ethical considerations and challenges.
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.