| RAG/ | - | |
| Use Time Series BYOM and time series data to predict energy demand.ipynb | 248.3 KB | |
| Use Time Series Foundation Models and timeseries data to predict energy demand.ipynb | 166.7 KB | |
| Use watsonx Text Extraction V2 service to extract text from file.ipynb | 312.3 KB | |
| Use watsonx Text Extraction service to extract text from file.ipynb | 24.4 KB | |
| Use watsonx to manage Prompt Template assets and create deployment.ipynb | 33.6 KB | |
| Use watsonx, and LangChain Agents to perform sequence of actions.ipynb | 43.1 KB | |
| Use watsonx, and LangChain to make a series of calls to a language model.ipynb | 34.4 KB | |
| Use watsonx, and LangGraph to build Adaptive RAG Graph.ipynb | 92.7 KB | |
| Use watsonx, and LlamaIndex with sql query engine.ipynb | 22.6 KB | |
| Use watsonx, and Meta `llama-3-3-70b-instruct` to answer question about an article.ipynb | 13.3 KB | |
| Use watsonx, and Mistral `mistral-medium-2505` to analyze car rental customer satisfaction from text.ipynb | 26.9 KB | |
| Use watsonx, and Mistral `mistral-small-3-1-24b-instruct-2503` to analyze eXtensive Business Reporting Language (XBRL) tags of financial reports.ipynb | 28.2 KB | |
| Use watsonx, and `granite-4-h-small` to analyze car rental customer satisfaction from text.ipynb | 28.9 KB | |
| Use watsonx, and `granite-4-h-small` to support multiple languages translation.ipynb | 20.9 KB | |
| Use watsonx, and `granite-8b-code-instruct` to generate code based on instruction.ipynb | 60.9 KB | |
| Use watsonx, and `mistral-small-3-1-24b-instruct-2503` to find sentiments of legal documents.ipynb | 25 KB | |
| Use watsonx, and `mistral-small-3-1-24b-instruct-2503` to generate code based on instruction.ipynb | 16.4 KB | |
| Use watsonx, and `mistral-small-3-1-24b-instruct-2503` to summarize legal Contracts documents.ipynb | 27.2 KB | |
| chat/ | - | |
| fine_tuning/ | - | |
| html/ | - | |
| lm-eval-benchmarking/ | - | |
