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Skills في هذا المستودع
جمع SkillsMP عدد ٩١ من skills من agentic-in/elephant-agent. افتح أي skill لمراجعة مصدره وتفاصيله.
agentic-in/elephant-agentعرض ٤٠ من أصل ٩١ skills مجمعة.
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
لغة النص الأصلي: الإنجليزية
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace,…
لغة النص الأصلي: الإنجليزية
Frames model, prompt, and system evaluation as a reproducible experiment with baselines, datasets, and explicit metrics.
لغة النص الأصلي: الإنجليزية
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
لغة النص الأصلي: الإنجليزية
Guides model, dataset, and space workflows around Hugging Face Hub with explicit auth, artifact, and cache assumptions.
لغة النص الأصلي: الإنجليزية
Run LLM inference with llama.cpp on CPU, Apple Silicon, AMD/Intel GPUs, or NVIDIA — plus GGUF model conversion and quantization (2–8 bit with K-quants and imatrix). Covers CLI, Python bindings, OpenAI-compatible server, and Ollama/LM Studio integration. Use…
لغة النص الأصلي: الإنجليزية
Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails while preserving reasoning. 9 CLI methods, 28 analysis modules,…
لغة النص الأصلي: الإنجليزية
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
لغة النص الأصلي: الإنجليزية
Guides model-serving and runtime-inference decisions across local, remote, and packaged deployment paths.
لغة النص الأصلي: الإنجليزية
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints,…
لغة النص الأصلي: الإنجليزية
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
لغة النص الأصلي: الإنجليزية
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning.…
لغة النص الأصلي: الإنجليزية
Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.
لغة النص الأصلي: الإنجليزية
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
لغة النص الأصلي: الإنجليزية
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or…
لغة النص الأصلي: الإنجليزية
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
لغة النص الأصلي: الإنجليزية
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
لغة النص الأصلي: الإنجليزية
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's…
لغة النص الأصلي: الإنجليزية
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
لغة النص الأصلي: الإنجليزية
Guides fine-tuning and post-training work with explicit data, objective, hardware, and rollback assumptions.
لغة النص الأصلي: الإنجليزية
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works…
لغة النص الأصلي: الإنجليزية
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
لغة النص الأصلي: الإنجليزية
Guides retrieval-store design, indexing, and query behavior for embedding-backed systems without confusing storage with application truth.
لغة النص الأصلي: الإنجليزية
Work with vault-backed markdown notes in Obsidian, preserving links, filenames, and existing note structure.
لغة النص الأصلي: الإنجليزية
Handle Google Docs, Sheets, Drive, and related Workspace tasks through the narrowest available API or browser workflow.
لغة النص الأصلي: الإنجليزية
Work with Linear issues, projects, and triage flows while preserving status semantics and ownership clarity.
لغة النص الأصلي: الإنجليزية
Extract, inspect, and summarize PDFs quickly with lightweight tooling before escalating to heavier OCR or layout workflows.
لغة النص الأصلي: الإنجليزية
Create, search, and update Notion pages or databases through the API or a narrow browser fallback when a Workspace lives in Notion.
لغة النص الأصلي: الإنجليزية
Recover text from scanned or image-heavy documents before attempting structured analysis or downstream writing tasks.
لغة النص الأصلي: الإنجليزية
Build or revise presentation structure, slide copy, and export-ready material for PowerPoint-style decks.
لغة النص الأصلي: الإنجليزية
Give Elephant Agent phone capabilities without core tool changes. Provision and persist a Twilio number, send and receive SMS/MMS, make direct calls, and place AI-driven outbound calls through Bland.ai or Vapi.
لغة النص الأصلي: الإنجليزية
Search, filter, and summarize arXiv papers with explicit titles, authors, dates, and paper links before drawing conclusions.
لغة النص الأصلي: الإنجليزية
Monitor blog or website updates, compare publish dates, and summarize deltas rather than repeating unchanged content.
لغة النص الأصلي: الإنجليزية
Build concise, cross-linked wiki-style summaries for models, papers, techniques, or labs when the user wants durable knowledge capture.
لغة النص الأصلي: الإنجليزية
Inspect prediction-market questions, prices, and resolution conditions carefully before summarizing or comparing market signals.
لغة النص الأصلي: الإنجليزية
Draft research-style outlines, section structure, and evidence-backed prose for papers, whitepapers, or technical notes.
لغة النص الأصلي: الإنجليزية
Keeps explicit shell work legible, bounded, and attached to the current workspace thread.
لغة النص الأصلي: الإنجليزية
Keeps direct URL reading and text extraction available when a specific page matters more than search results.
لغة النص الأصلي: الإنجليزية
Keeps local retrieval, file search, and nearby context gathering available in-session.
لغة النص الأصلي: الإنجليزية
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
لغة النص الأصلي: الإنجليزية