#BRANDED NOTEBOOKS INSTALL#
You have to install Git from here to run it in notebooks. # llama_challenge\html_challenge\hana_ml.html # llama_challenge\html_challenge\hana_ml.dataframe.html # llama_challenge\html_challenge\challenge_20221222.html # llama_challenge\html_challenge\challenge_20221128.html # llama_challenge\html_challenge\challenge_20221107.html # llama_challenge\html_challenge\understanding_metrics_blog.html # mode: 0 - save, 1 - content, 2 - save and content import urllib.requestĭef read_save_html(self, url, path_save = None, filename = None, mode = 0): The entire code with links to resources is on GitHub 01 Collect html from urls.
🧪⚗️💎 Collect HTML from URLsĬollection of HTML from URLs is performed with the class collect_html(). In this experiment, I will collect data from URLs in HTML formats and from GitHub in Notebooks in IPYNB format, then convert data to raw TXT format. The laborious part is collecting, storing, and converting data from various sources and formats. Now it is time to move to SAP Machine Learning Embedding in OpenAI. # The name Bogdan is commonly used as a given name in Eastern European countries such as Romania, Bulgaria, and Ukraine.Īs you can see the AI agent is aware of the augmented content, updated content about the current date, and further pubic content about countries. Question = "Where is the name commonly used as a given name?" Self.documents = SimpleDirectoryReader(self.data_dir).load_data() The entire code with links to resources is on GitHub 00 Simple content embedding. I have created a class llama_context() with methods to prepare the structure of folders required for LlamaIndex, estimate the costs, create a vector index, start the query engine, and ask questions about content embedded in OpenAI. SAP HANA Machine Learning Challenge Embedding in OpenAI
Let’s see what is possible nowadays with OpenAI API and LlamaIndex. The questions are restricted to the content the OpenAI was trained and that is not always enough as we want to extend the capabilities with actual online-specific content or local content.Īsking questions from additional content requires data augmentation.
#BRANDED NOTEBOOKS HOW TO#
I wrote the blog “Hello, world!” your crafted chat GPT bot!” about how to use OpenAI API to submit completions and ask further questions. “Have you ever wished to ask an AI agent questions about selected thousands of pages after you have woken up from a good sleep?” 🙂
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