Multi-Modal Prompting: Combining Text, Images, and Code in Single Prompts
Master multi-modal prompting techniques that combine text, images, and code inputs in a single prompt to unlock more capable and context-rich LLM interactions.
10 min read
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AI Voice Agent Insights & Guides
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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OpenAI Embeddings API: Creating Vector Representations of Text
Learn how to generate text embeddings with OpenAI's API, understand embedding dimensions, implement batch embedding, and build practical search and similarity applications.
11 min read
Named Entity Recognition for AI Agents: Extracting People, Places, and Organizations
Learn how to implement Named Entity Recognition in AI agent pipelines using spaCy and LLMs, covering entity types, custom entity training, and real-time extraction strategies.
9 min read
Cache Strategies for AI Agents: Avoiding Redundant LLM Calls
Master caching strategies for AI agents — from response caching and embedding caching to tool result caching and smart invalidation — to reduce latency, cut API costs, and improve throughput.
11 min read
AWS Bedrock Agents Now Support 40+ Tool Integrations and Multi-Agent Workflows
Amazon expands Bedrock Agents with native multi-agent orchestration, an extensive tool marketplace, and enterprise-grade governance for building production AI agent systems on AWS.
9 min read
Semantic Search Evaluation: nDCG, MRR, and Recall at K Metrics
Master the essential metrics for evaluating semantic search quality — nDCG, MRR, and Recall@K — with practical Python implementations, test set creation methodology, and benchmarking workflows.
13 min read
Shared Memory Across Agent Teams: Building Collective Knowledge Bases
Design shared memory architectures for multi-agent teams that enable collective knowledge building, with contribution tracking, conflict resolution, and access control.
9 min read
Python asyncio Fundamentals for AI Engineers: Coroutines, Tasks, and Event Loops
Master Python asyncio from the ground up. Learn coroutines, tasks, event loops, and async/await patterns essential for building high-throughput AI agent systems.
12 min read
LiteLLM: A Unified Interface for 100+ LLM Providers in Agent Applications
Set up LiteLLM to call OpenAI, Anthropic, Mistral, Ollama, and 100+ other providers through a single API. Implement fallbacks, load balancing, and cost tracking for production agents.
11 min read
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