Releases

Google launches PaLM 2, improving multilingual, reasoning and coding capabilities across Google products and Cloud.

The release of Replit Code v1 3B established Replit's native family of open coding language models.

Replit released its open 3-billion-parameter code model for code completion.

Meta released ImageBind, a joint embedding model spanning images, text, audio, depth, thermal and IMU data.

MosaicML released MPT-7B, Base, Instruct, Chat and StoryWriter variants under commercially usable licenses.

BigCode released StarCoder, a 15.5B-parameter code model trained on permissively licensed code from The Stack.

Midjourney released V5.1 with stronger default aesthetics and coherence.

Baidu introduced ERNIE 3.5 as the new foundation model powering ERNIE Bot.

ElevenLabs released its first multilingual speech-synthesis model.

Meta released DINOv2, a self-supervised vision foundation model and pretrained visual features.

Amazon introduced its first text embedding foundation model through the Bedrock preview.

AWS introduced Amazon Titan, its family of text generation and embedding foundation models available through Bedrock.

Databricks released Dolly 2.0 with commercial-use weights and the human-generated databricks-dolly-15k instruction dataset.

Meta released SAM, its promptable image-segmentation model, together with model weights and the SA-1B dataset.

Midjourney and Spellbrush released Niji V5 for anime and illustrative generation.

Databricks released Dolly, a six-billion-parameter instruction-following model that could be trained inexpensively on one machine.

Runway released Gen-2 for text-to-video and image-to-video generation.

Midjourney released V5 with improved photorealism and prompt understanding.

Anthropic introduced Claude and Claude Instant more broadly after a closed alpha with partners.

OpenAI released GPT-4, a multimodal large model accepting image and text inputs and producing text outputs.

MosaicML released MosaicBERT, an optimized BERT architecture designed to pretrain high-quality models at much lower cost.

Cohere established Command as its principal family of enterprise generative language models.

Cohere released Command Light as a lower-latency generation option for enterprise text workloads.

Cohere introduced the Command generation family for enterprise summarization, conversation and text workflows.

Meta released the first LLaMA model family for approved research use, spanning 7B to 65B parameters.