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Search LLM Integration , found 20 results

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AWQ Weight Quantization

awq-quantization

Orchestra-Research/AI-Research-SKILLs

AWQ provides activation-aware 4-bit quantization for large language models, delivering ~3x inference speedup and sub-5% accuracy loss to deploy instruction-tuned or multimodal models on memory-constrained GPUs with vLLM integration and Marlin kernels.

Groq Deployment Guide

groq-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Deploy Groq-powered applications to Vercel, Fly.io, and Cloud Run while configuring secrets, streaming responses, and health checks for low-latency LLM inference.

Groq Reference Architecture

groq-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Defines best-practice Groq deployment with tiered model routing, middleware, streaming pipelines, and fallback chains for ultra-fast LLM inference and production monitoring when launching new Groq integrations.

LangChain CI Integration

langchain-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Sets up LangChain CI/CD workflows in GitHub Actions for running mocked unit tests, RAG validation, and gated integration tests with live LLM calls along with agent/tool checks for Python or TypeScript projects.

LangChain Hello World

langchain-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Provides a minimal LangChain example that walks through defining a prompt, chaining it to an LLM, and invoking it from Python or TypeScript to confirm the integration setup and learn basic chain/prompt patterns.

LangChain Auth Setup

langchain-install-auth

jeremylongshore/claude-code-plugins-plus-skills

Guides installing LangChain SDK/CLI, configuring provider API keys, setting environment variables or .env, and verifying LLM connections for new integrations or project initialization.

LangChain Webhooks Events

langchain-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

Build LangChain callback handlers that push LLM, chain, and tool events to webhooks, stream tokens via WebSocket/SSE, and coordinate real-time integrations.

Langfuse Observability Setup

langfuse-observability

jeremylongshore/claude-code-plugins-plus-skills

Set up comprehensive Langfuse observability with Prometheus metrics, Grafana dashboards, and AlertManager rules to monitor LLM operations, track latency, costs, and errors, and ensure integration health.

LlamaGuard Content Moderation

Orchestra-Research/AI-Research-SKILLs

LlamaGuard is Meta’s 7–8B safety-specialized LLM that filters both prompts and responses by classifying six threat categories, enabling fast inference via vLLM/SageMaker and integration into NeMo Guardrails for end-to-end moderation.

AI Assistant Development

llm-application-dev-ai-assistant

sickn33/antigravity-awesome-skills

Guides AI assistant development experts to build intelligent conversational interfaces, chatbots, and AI-powered workflows with natural language understanding, context management, and integration checklists.

LLM Integration Patterns

llm-integration

rohitg00/awesome-claude-code-toolkit

Practical guide to integrating Claude models: covers API client usage, streaming responses, tool calls, RAG pipelines, document chunking, cost-aware model selection, and anti-pattern warnings for efficient LLM workflows.

MCP Server Builder

ComposioHQ/awesome-claude-skills

Guide for building high-quality MCP servers that enable LLM agents to interact with external services via thoughtfully designed tools, covering research, comprehensive API study, planning, and Python/TypeScript implementation best practices for integration.

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