Image created with Flux Pro v1.1 Ultra. Image prompt: CU Boulder brand style — CU Gold & Black, Helvetica Neue, Flatirons, Tuscan-vernacular sandstone + red-tile roofs; Farrand Field lawn, bright midday light, low-angle perspective, buffalo silhouette pattern in CU Gold; integrate the category “Llama” via Environmental Detail: chalk sketch of a llama on pavement labeled “LLAMA”; natural light, clean professional inspiring tone, crisp focus, subtle grain, editorial composition
Now that the era of the scaling “”law”” is coming to a close, I guess every lab will have their Llama 4 moment. Grok had theirs. OpenAI just had theirs too.”” / X https://x.com/jeremyphoward/status/1954346846845129158
Two weeks ago, we released jina-embeddings-v4-GGUF with dynamic quantizations. During our experiments, we found interesting things while converting and running GGUF embeddings. Since most of the llama.cpp community focuses on LLMs, we thought it’d be valuable to share this from https://x.com/JinaAI_/status/1955647947359867068
Character AI pivots from proprietary to open-source models after realizing they couldn’t compete with Big Tech’s billions. Now using Llama, Qwen & DeepSeek instead of building their own. https://x.com/fdaudens/status/1955629648920088754
