🚀 Exciting News! Check out our brand new short course on function calling, the foundation for AI agents, created by our CEO Jiantao Jiao and founding engineer Venkat Srinivasan, in collaboration with DeepLearning.AI and the legendary Andrew Ng! 🌟
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools.
This short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Developing application with LLM, Function / Tool calling is proving to be one the most useful techniques and widely being implemented after RAG use cases.
OSS LLMs are being fine-tuned on improving tool calling abilities. Learn more about through below course.
#llms#toolcalling#functions#generativeai
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Director of Data Science | AI Leader | IIT | ISB Executive Ed (Business Analytics) | Wharton Executive Ed (Management Development Program) | International Work-Ex | Product and Innovation | Healthcare
Most of time people do not “really” understand how things can be managed in Generative AI!
Function calling is most powerful tool to use in generative ai to delegate tasks and make it accessible for LLM to use!
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Be sure to check out the "Function Calling and Data Extraction with LLMs" short course from DeepLearning.AI! It only takes about an hour or so to complete and is really great for learning a about practical techniques for interacting with external tools, processing structured data, and improving user interactions. These skills are crucial for enhancing interactions with external tools and processing structured data. As a product manager, understanding how to leverage large language models for function calling and data extraction can help improve product features, streamline data processing, and enhance user interactions & experience. It also helps to be able to communicate effectively when working with data scientists and engineers. Happy Learning!
#AI#MachineLearning#DataScience#DeepLearning#LLMs#ProfessionalDevelopment
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Here are the reasons why function calling is a valuable skill for LLMs and AI agents, as explained in the passage:
* **Extends Capabilities:** LLMs are powerful language models, but they can be limited in their ability to interact with the world. Function calling allows them to call upon external tools and APIs, significantly extending their capabilities.
* **Structured Data Extraction:** Function calling can be used to process unstructured text and extract specific information in a structured format. This makes the data usable for further analysis or tasks.
* **Web API Access:** LLMs can leverage function calling to access and interact with web APIs, allowing them to retrieve data from external sources or perform actions on online platforms.
* **Real-World Applications:** By combining function calling with data extraction, you can build practical applications that process real-world data. The example of analyzing customer service transcripts demonstrates this.
* **Enhanced Functionality:** Function calling empowers LLMs to perform tasks that were previously not possible. This can lead to applications that analyze user feedback, automate data entry tasks, and improve search functionalities.
In essence, function calling unlocks the potential for LLMs to become more versatile and impactful tools by enabling them to interact with the digital world and perform actions beyond simple text generation.
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
Founder of DeepLearning.AI; Managing General Partner of AI Fund; Exec Chairman of Landing AI
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with Nexusflow and taught by Jiantao Jiao and Venkat Srinivasan, demonstrates how to prompt LLMs to form calls to external functions.
You'll work with NexusRavenV2-13B, a 13B parameter open-source model that excels in function calling tasks while still being small enough to host locally. Learn to use function calling to extract structured data from unstructured text and access web APIs, and build an end-to-end application that processes customer service transcripts. You'll learn how to build LLM-powered applications that can analyze feedback, automate data entry, and enhance search.
Please get started here: https://lnkd.in/g9FpiCuH
