- Generative AI EthicsKey Considerations in the Age of Autonomous Content
- 29292Murphy ≡ DeepGuide
- The Urgent Need for Responsible Use of Generative AIWhy scale, personalisation, unclear provenance, and diffusion of AI-generated content require us to act now
- 22511Murphy ≡ DeepGuide
- How to Measure the Success of Your RAG-based LLM SystemIncluding a new novel method for judging answers with a qualitative score and detailed explanation.
- 26758Murphy ≡ DeepGuide
- Tackle Complex LLM Decision-Making with Language Agent Tree Search (LATS) & GPT-4oEnhancing LLM Decision-Making: Integrating Language Agent Tree Search with GPT-4o for Superior Problem Solving
- 29878Murphy ≡ DeepGuide
- Automated Prompt Engineering: The Definitive Hands-On GuideLearn how to automate prompt engineering and unlock significant performance improvements in your LLM workload
- 21873Murphy ≡ DeepGuide
- Building a Multilingual Multi-Agent Chat Application Using LangGraph – Part IIn this 3-part series, learn how to build a RAG-based, multilingual, agentic chat application to streamline tasks at workplaces
- 29489Murphy ≡ DeepGuide
- Benchmarking Hallucination Detection Methods in RAGEvaluating methods to enhance reliability in LLM-generated responses.
- 22993Murphy ≡ DeepGuide
- How I Streamline My Research and Presentation with LlamaIndex WorkflowsAn example of orchestrating AI workflow with robustness, flexibility and controllability
- 21739Murphy ≡ DeepGuide
- Key Insights for Teaching AI Agents to RememberRecommendations on building robust memory capabilities based on experimentation with Autogen's "Teachable Agents"
- 21178Murphy ≡ DeepGuide
- Generating Images with Stable Diffusion and OnnxStream on the Raspberry PiLearn how to use OnnxStream to generate images with Stable Diffusion XL Turbo on the Raspberry Pi!
- 28373Murphy ≡ DeepGuide
- Cypher Generation: The Good, The Bad and The MessyMethods for creating fine-tuning datasets for text-to-Cypher generation.
- 27153Murphy ≡ DeepGuide
- How to Find the Best Multilingual Embedding Model for Your RAGOptimize the Embedding Space for Improving RAG
- 22722Murphy ≡ DeepGuide
- The Death of the Static AI BenchmarkBenchmarks are often hailed as a hallmark of success but recent research studies and industry grumblings are casting doubt about their...
- 25353Murphy ≡ DeepGuide
- The Business Guide to Tailoring Language AIA Framework for Unlocking Custom LLM Solutions You'll Understand
- 28974Murphy ≡ DeepGuide
- How To Use Generative AI and Python to Create Designer Dummy DatasetsA Simple Guide for Practical Applications
- 23451Murphy ≡ DeepGuide
- How to Make the Most Out of LLM Production Data: Simulated User FeedbackA novel approach to use production data to simulate user feedback for testing and evaluating your LLM app.
- 27549Murphy ≡ DeepGuide
- Building a RAG chain using LangChain Expression Language (LCEL)Learning the building blocks of LCEL to develop increasingly complex RAG chains
- 20664Murphy ≡ DeepGuide
- Callbacks and Pipeline structures in LangChainLearn about the structure of LangChain pipelines, callbacks, how to create custom callbacks and integrate them into your pipelines for...
- 25768Murphy ≡ DeepGuide
- Meta Llama 3 Optimized CPU Inference with Hugging Face and PyTorchLearn how to reduce model latency when deploying Meta* Llama 3 on CPUs
- 28566Murphy ≡ DeepGuide
- The 4 new trendy AI concepts, and their potential in digital productsPrompting, fine-tuning, RAG, and agents
- 24605Murphy ≡ DeepGuide
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