Showing 961–980 of 1502 insights
| Title | Episode | Published | Category | Domain | Tool Type | Preview |
|---|---|---|---|---|---|---|
| Casual Dinner Prompts | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Generate AI questions styled like dinner party conversation using themes such as wine and literature to create engaging, context-rich prompts. |
| OpenAI Eval Benchmark | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | OpenAI's evaluation set provides standardized prompts for benchmarking model performance, helping developers compare and tune AI systems. |
| Browse Completion Dataset | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Use browse completion logs as a test dataset for AI models and development workflows, turning real user interactions into training and evaluation data... |
| Agent-Based AI Workflows | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Integrate AI agents into development pipelines to modularize tasks and improve workflow flexibility and scalability. |
| MOE Energy Efficiency | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Use Mixture-of-Experts (MOE) parameter activation tracking to optimize and reduce AI model energy consumption by selectively activating parameters. |
| Mixture of Experts Architecture | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Implement MoE architectures to scale AI model capacity by dynamically routing inputs to specialized expert sub-models, improving throughput and perfor... |
| LangChain Model Sequencing | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Use LangChain to orchestrate multi-step model pipelines for high-level AI workflows by sequencing calls to different language models. |
| Gemma3n Model Taxonomy | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Apply Gemma3n’s categorization—distinguishing workhorse, specialist, and experimental models—to select the right AI for each use case based on perform... |
| Social Media Workflow Hack | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Leverage social media usage patterns as context telemetry to trigger AI model tasks such as automated content scheduling, sentiment analysis, and pers... |
| Coin Model Integration Workflow | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | Define use-case-specific Coin model endpoints to seamlessly inject AI-driven suggestions—like code assistance or document drafting—into your daily dev... |
| Flexible AI Stacks | EP - 10 - GPT 5 , China Open Source Model Onslaught, Claude SubAgents and Alpha Earth - Part 1 | 8/1/2025 | Frameworks | Ai-development | - | AI enthusiasts are focusing on building flexible AI stacks and fine-tuning open models for customized solutions |
| Enterprise Auth Deployment | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Ai-development | - | Leveraging advanced enterprise authentication methods and deployment strategies improves security and scalability of AI services. |
| Pre-approved Security Protocols | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Ai-development | - | Using pre-approved security protocols like those in the MCP standard to streamline enterprise AI deployments while maintaining compliance. |
| Resource-Optimized Prompts | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Ai-development | - | Demonstrated using MCP server tools to monitor resource consumption and refine prompt engineering for cost-effective AI workflow execution. |
| LLM-as-Judges | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Ai-development | - | Outlined using large language models as judgment engines to automatically evaluate ACT transcripts and enforce defined assessment criteria in workflow... |
| Composable AI Workflows | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Ai-development | - | Showcased how combining composable workflows with data queries and prompt resources can form flexible, modular AI pipelines that adapt to evolving req... |
| 2A Skills Protocol | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Ai-development | - | Discussed how the 2A framework formalizes skill communication protocols within AI systems on MCP servers, enabling standardized skill invocation and c... |
| Retrieval via Hosted MCP | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Backend | - | Set up a hosted cloud MCP server for remote retrieval, simplifying configuration by using a URL-based access to vault data. |
| Hands-on Experimentation | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Ai-development | - | Practice implementing AI tools yourself to deepen understanding of concepts, especially in centralizing AI workflows. |
| Graph QA with LangChain | EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J | 7/25/2025 | Frameworks | Ai-development | - | Use LangChain’s Graph QA Chain (Graph Cipher QA Chain) to query graph data and extract metrics like product mention counts. |
© 2025 The Build. All rights reserved.
Privacy Policy