New to LLMWare - Fast Start tutorial series
SLIM Examples - SLIM Models
| Example | Detail |
|---|---|
| 1. BLING models fast start (code / video) | Get started with fast, accurate, CPU-based models - question-answering, key-value extraction, and basic summarization. |
| 2. Parse and Embed 500 PDF Documents (code) | End-to-end example for Parsing, Embedding and Querying UN Resolution documents with Milvus |
| 3. Hybrid Retrieval - Semantic + Text (code) | Using 'dual pass' retrieval to combine best of semantic and text search |
| 4. Multiple Embeddings with PG Vector (code / video) | Comparing Multiple Embedding Models using Postgres / PG Vector |
| 5. DRAGON GGUF Models (code / video) | State-of-the-Art 7B RAG GGUF Models. |
| 6. RAG with BLING (code / video) | Using contract analysis as an example, experiment with RAG for complex document analysis and text extraction using llmware's BLING ~1B parameter GPT model running on your laptop. |
| 7. Master Service Agreement Analysis with DRAGON (code / video) | Analyzing MSAs using DRAGON YI 6B Model. |
| 8. Streamlit Example (code) | Upload pdfs, and run inference on llmware BLING models. |
| 9. Integrating LM Studio (code / video) | Integrating LM Studio Models with LLMWare |
| 10. Prompts With Sources (code) | Attach wide range of knowledge sources directly into Prompts. |
| 11. Fact Checking (code) | Explore the full set of evidence methods in this example script that analyzes a set of contracts. |
| 12. Using 7B GGUF Chat Models (code) | Using 4 state of the art 7B chat models in minutes running locally |
| 13. ⭐ Adjusting Sampling for Better LLM Results (code / video) | How to control and analyze stochastic sampling impact |
| 14. ⭐ CSV Parsing Configuration (code) | Different options for configuring CSV parsing |
| 15. ⭐ JSON Parsing Configuration (code) | Different options for configuring JSON and JSONL parsing |
Check back from time-to-time as we are always updating these examples - especially with new use cases and contributions from the llmware Community!