Description for Intro to LLMs
Features of Course
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 Intro to LLMs
Use Cases for Intro to LLMs
FAQs for Intro to LLMs
Reviews for Intro to LLMs
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Intro to LLMs
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
Develop and evaluate a neural network that can identify handwritten numerals, implement One Hot Encoding for classification, and evaluate the efficacy of the model through practical exercises.
Students will acquire the ability to transform Excel workbooks into dynamic, functional web forms that are user-friendly and can be sold to consumers.
Acquire practical business analytics expertise. Utilize data to resolve intricate business challenges.
Understand and apply statistical techniques to quantify prediction uncertainty, analyze probability distributions, and evaluate machine learning model efficacy using interval estimates and margins of error.
The course delves into the development of effective prompts for AI communication, the use of ChatGPT and DALL-E in workflow processes, and the assurance of accurate aesthetic representation.