| RAG/ | - | |
| Use Time Series BYOM and time series data to predict energy demand.ipynb | 248 KB | |
| Use Time Series Foundation Models and timeseries data to predict energy demand.ipynb | 170.1 KB | |
| Use watsonx Text Extraction V2 service to extract text from file.ipynb | 315 KB | |
| Use watsonx Text Extraction service to extract text from file.ipynb | 24.3 KB | |
| Use watsonx to manage Prompt Template assets and create deployment.ipynb | 33.7 KB | |
| Use watsonx, and LangChain Agents to perform sequence of actions.ipynb | 39.4 KB | |
| Use watsonx, and LangChain to make a series of calls to a language model.ipynb | 33.2 KB | |
| Use watsonx, and LangGraph to build Adaptive RAG Graph.ipynb | 120.9 KB | |
| Use watsonx, and LlamaIndex with sql querey engine.ipynb | 19.7 KB | |
| Use watsonx, and Meta `llama-2-70b-chat` to answer question about an article.ipynb | 15.2 KB | |
| Use watsonx, and Meta `llama-3-70b-instruct` to answer question about an article.ipynb | 14.1 KB | |
| Use watsonx, and `codellama-34b-instruct-hf` to generate code based on instruction.ipynb | 15.7 KB | |
| Use watsonx, and `granite-13b-instruct` to analyze car rental customer satisfaction from text.ipynb | 24.1 KB | |
| Use watsonx, and `granite-20b-multilingual` to support multiple languages translation.ipynb | 19.4 KB | |
| Use watsonx, and `mixtral-8x7b-instruct-v01` to find sentiments of legal documents.ipynb | 26.4 KB | |
| Use watsonx, and `mixtral-8x7b-instruct-v01` to generate code based on instruction.ipynb | 17.1 KB | |
| Use watsonx, and `mixtral-8x7b-instruct-v01` to summarize legal Contracts documents.ipynb | 59.9 KB | |
| chat/ | - | |
| fine_tuning/ | - | |
| html/ | - | |
| lm-eval-benchmarking/ | - | |
| prompt_tuning/ | - | |
