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SkillsMP a collecté 91 skills depuis agentic-in/elephant-agent. Ouvrez un skill pour examiner sa source et ses détails.
agentic-in/elephant-agentAffichage de 40 skills collectés sur 91.
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.
Langue du texte source : anglais
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,…
Langue du texte source : anglais
Frames model, prompt, and system evaluation as a reproducible experiment with baselines, datasets, and explicit metrics.
Langue du texte source : anglais
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
Langue du texte source : anglais
Guides model, dataset, and space workflows around Hugging Face Hub with explicit auth, artifact, and cache assumptions.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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
Langue du texte source : anglais
Guides model-serving and runtime-inference decisions across local, remote, and packaged deployment paths.
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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
Langue du texte source : anglais
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
Langue du texte source : anglais
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…
Langue du texte source : anglais
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
Langue du texte source : anglais
Guides fine-tuning and post-training work with explicit data, objective, hardware, and rollback assumptions.
Langue du texte source : anglais
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…
Langue du texte source : anglais
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
Langue du texte source : anglais
Guides retrieval-store design, indexing, and query behavior for embedding-backed systems without confusing storage with application truth.
Langue du texte source : anglais
Work with vault-backed markdown notes in Obsidian, preserving links, filenames, and existing note structure.
Langue du texte source : anglais
Handle Google Docs, Sheets, Drive, and related Workspace tasks through the narrowest available API or browser workflow.
Langue du texte source : anglais
Work with Linear issues, projects, and triage flows while preserving status semantics and ownership clarity.
Langue du texte source : anglais
Extract, inspect, and summarize PDFs quickly with lightweight tooling before escalating to heavier OCR or layout workflows.
Langue du texte source : anglais
Create, search, and update Notion pages or databases through the API or a narrow browser fallback when a Workspace lives in Notion.
Langue du texte source : anglais
Recover text from scanned or image-heavy documents before attempting structured analysis or downstream writing tasks.
Langue du texte source : anglais
Build or revise presentation structure, slide copy, and export-ready material for PowerPoint-style decks.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Search, filter, and summarize arXiv papers with explicit titles, authors, dates, and paper links before drawing conclusions.
Langue du texte source : anglais
Monitor blog or website updates, compare publish dates, and summarize deltas rather than repeating unchanged content.
Langue du texte source : anglais
Build concise, cross-linked wiki-style summaries for models, papers, techniques, or labs when the user wants durable knowledge capture.
Langue du texte source : anglais
Inspect prediction-market questions, prices, and resolution conditions carefully before summarizing or comparing market signals.
Langue du texte source : anglais
Draft research-style outlines, section structure, and evidence-backed prose for papers, whitepapers, or technical notes.
Langue du texte source : anglais
Keeps explicit shell work legible, bounded, and attached to the current workspace thread.
Langue du texte source : anglais
Keeps direct URL reading and text extraction available when a specific page matters more than search results.
Langue du texte source : anglais
Keeps local retrieval, file search, and nearby context gathering available in-session.
Langue du texte source : anglais
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
Langue du texte source : anglais