Arcee Blitz 24B - A better Mistral Small 3 model

Arcee Maestro 7B - A small language model that outperforms o1-preview

Arcee Orchestra - Build an Agentic Workflow to Augment and Localize YouTube Content

Arcee Orchestra - Build an Agentic Retrieval Workflow for the Energy Industry

Arcee Orchestra - Build an Agentic Code Review Workflow

Run SLMs locally: Llama.cpp vs. MLX with 10B and 32B Arcee models

Virtuoso Lite and Virtuoso Medium v2: distilling DeepSeek-V3 to 10B & 32B

Decoder-only inference: a step-by-step deep dive

Deep Dive: Model Distillation with DistillKit

Function calling with Arcee Caller and the OpenAI API

Introducing the Arcee Model Engine

Deploying Arcee models on Amazon Bedrock

Deep Dive: Parameter-Efficient Model Adaptation with LoRA and Spectrum

Deploying Arcee AI models in minutes with Amazon SageMaker JumpStart

Run performant and cost-effective GenAI Applications with AWS Graviton and Arcee AI

SLM in Action: SuperNova-Medius, a high-performance 14B model

100,000

Arcee.ai and Small Language Models - Mobile World Congress, Las Vegas (10/2024)

Arcee.ai - Tailoring Small Language Models for Enterprise Use Cases (09/2024)

Deploying SuperNova-Lite on Inferentia2: the best 8B model for $1 an hour!

Sneak peek: Arcee SuperNova on Amazon Bedrock!

Deploying Arcee SuperNova on AWS

Developer resources to deploy and test Arcee models on AWS

SLM in Action: Arcee Lite, a powerful 1.5B distilled model

Uncover the Truth Behind AI Model Bias - It's More Serious Than You Think!

SLM in Action: Arcee Nova 72B local inference on math and code with Open WebUI and ollama

SLM in Action: Arcee Spark, Llama-3.1 8B, improved!

SLM in Action: Arcee Agent, A 7B model for function calls and tool usage

Deep dive: model merging, part 2

Arcee Cloud, part 5: model download

Arcee Cloud, part 4: model alignment

Arcee Cloud, part 3: model continuous pretraining

Arcee Cloud, part 2: model merging

Arcee Cloud, part 1: model deployment

SLM in Action: Local Inference with Arcee Nova 72B and Ollama

SLM in Action: Arcee-Scribe, a 7.7B model for creative writing

LLMs from the trenches - "LLMs are not intelligent, there is no reasoning"

LLMs from the trenches - "Data is how you create a competitive advantage, not models"

LLMs from the trenches - "First and foremost, it is a business discussion"

LLMs from the trenches - "Closed model builders have decided for you"

LLMs from the trenches - Bias, risk management, cultural differences, and all that good stuff

Open Source AI with Hugging Face - Dallas AI meetup (05/2024)

Deploying Llama3 with Inference Endpoints and AWS Inferentia2

Discussion with Mark McQuade, CEO and co-founder, Arcee.ai

Migrating from OpenAI models to Hugging Face models

Deploying Llama3 on Amazon SageMaker

Deploy Hugging Face models on Google Cloud: directly from Vertex AI

Deploy Hugging Face models on Google Cloud: from the hub to Vertex AI

Deploy Hugging Face models on Google Cloud: from the hub to Inference Endpoints

Enterprise AI with the Hugging Face Enterprise Hub

Deploying Hugging Face models with Amazon SageMaker and AWS Inferentia2

Phi-2 on Intel Meteor Lake - Physics question

Phi-2 on Intel Meteor Lake - Coding question

Deep dive: model merging (part 1)

Deep Dive: Optimizing LLM inference

Deep Dive: Quantizing Large Language Models, part 2

Deep Dive: Quantizing Large Language Models, part 1

Deep Dive: Compiling deep learning models, from XLA to PyTorch 2

Hugging Face, the story so far

Deep dive - Better Attention layers for Transformer models