List: Prompt engineering | Curated by Miguel Doctor Yuste

Jan 31, 2025
98 stories
2 saves
Prompt engineering
In
TDS Archive
by
Uri Gottlieb
From Text to Code: Enhancing RAG with Adaptive Prompt EngineeringExtracting relevant data from structured tables required more than a standard RAG approach. We enhanced prompt engineering with indexed…
Jan 29
Jan 29
In
TDS Archive
by
Thuwarakesh Murallie
I Fine-Tuned the Tiny Llama 3.2 1B to Replace GPT-4oIs the fine-tuning effort worth more than few-shot prompting?
Oct 15, 2024
29
Oct 15, 2024
29
In
TDS Archive
by
Mauro Di Pietro
GenAI with Python: Build Agents from Scratch (Complete Tutorial)with Ollama, LangChain, LangGraph (No GPU, No APIKEY)
Sep 29, 2024
35
Sep 29, 2024
35
In
Stackademic
by
Vardhanam Daga
Multi-Hop Retrieval and Reasoning for Complex Questions Using DSPy, Qdrant, and Llama3Leveraging the no-prompt framework of DSPy for complex LLM question-answering
May 16, 2024
May 16, 2024
Stan
Use DSPy for RAG Model EvaluationHong T., Jing W. and Jing Z
Jun 24, 2024
Jun 24, 2024
In
AIGuys
by
Vishal Rajput
Prompt Engineering Is Dead: DSPy Is New Paradigm For PromptingDSPy Paradigm: Let’s program — not prompt — LLMs
Jun 19, 2024
77
Jun 19, 2024
77
In
Intel Tech
by
Intel
Tabular Data, RAG, & LLMs: Improve Results Through Data Table PromptingHow to ingest small tabular data when working with LLMs.
May 14, 2024
6
May 14, 2024
6
In
TDS Archive
by
Ed Izaguirre
How to Build a RAG System with a Self-Querying Retriever in LangChainRAG + Filtering with Metadata = Great Movie Recommendations 🍿
Apr 25, 2024
8
Apr 25, 2024
8
In
AI Advances
by
Florian June
Advanced RAG 10: Corrective Retrieval Augmented Generation (CRAG)Intuitive Example, Priciples, Code Explanation and Insights about CRAG
Apr 17, 2024
2
Apr 17, 2024
2
In
TDS Archive
by
Tobias Schnabel
Supercharging Prompt Engineering via Symbolic Program SearchFind better prompts by exploring a large set of prompt variants automatically
Apr 22, 2024
1
Apr 22, 2024
1
In
TDS Archive
by
Sami Maameri
Building a simple Agent with Tools and Toolkits in LangChainGet familiar with the building blocks of Agents in LangChain
Apr 10, 2024
2
Apr 10, 2024
2
In
TDS Archive
by
Nikita Kiselov
Evaluate anything you want | Creating advanced evaluators with LLMsDiscover how to build custom LLM evaluators for specific real-world needs.
Apr 18, 2024
Apr 18, 2024
Bill Huang
Fine-Tune LLM in Action: Mixtral-8x7BIntro
Mar 4, 2024
Mar 4, 2024
In
Javarevisited
by
SoftwareAlchemy
Creating Personalized ChatGPT with Spring AI — Part 1Greetings, Java developers! The recent release of Spring AI 0.8.0 signifies a landmark moment — the democratization of AI development…
Apr 8, 2024
Apr 8, 2024
In
TDS Archive
by
Hamza Gharbi
Mastering RAG Systems: From Fundamentals to Advanced, with Strategic Component EvaluationElevating your RAG System: A step-by-step guide to advanced enhancements via LLM evaluation, with a real-world data use case
Apr 9, 2024
7
Apr 9, 2024
7
In
Artificial Intelligence in Plain English
by
Anthony Alcaraz
Unlocking Self-Optimizing LLM Apps: Harnessing DSPy and SELF-DISCOVERArtificial intelligence software was used to enhance the grammar, flow, and readability of this article’s text.
Mar 6, 2024
8
Mar 6, 2024
8
In
Stackademic
by
Vardhanam Daga
Using DSPy with Qdrant to Build Advanced RAG PipelinesThe no-prompt technique to building a RAG
Mar 26, 2024
Mar 26, 2024
In
TDS Archive
by
Dr. Varshita Sher
Using LangChain ReAct Agents for Answering Multi-hop Questions in RAG SystemsUseful when answering complex queries on internal documents in a step-by-step manner with ReAct and Open AI Tools agents.
Feb 15, 2024
8
Feb 15, 2024
8
In
TDS Archive
by
Christy Bergman
RAG Evaluation Using RagasBest Practices RAG with Milvus vector database, part 1
Mar 21, 2024
Mar 21, 2024
In
TDS Archive
by
Eivind Kjosbakken
How to Make a RAG System to Gain Powerful Access to Your DataThis article will show you how to make an RAG system that makes your data easily accessible via prompting.
Mar 19, 2024
3
Mar 19, 2024
3