The process doesn't end there, though. We pass the draft through Claude AGAIN and instruct it to find additional points for revision.
LLMS
-

Optimization Process: Planning Prompt Improvements Through Chain-of-Thought
By
–
The optimization process starts by drafting a plan to improve your prompt. This encourages Claude to use chain-of-thought to reason through your current prompt and find the areas where there could be improvements.
-
Prompt Improver Adapts Prompts for Claude AI Model
By
–
The prompt improver also makes it easy to adapt prompts originally written for other AI models to work better with Claude.
-

New Gemini exp 1114 model now available
By
–
BREAKING: A new Gemini exp 1114 model is now publicly available on Google AI Studio. Have you tried it yet?
-

Mistral AI Prepares Multimodal Mistral 2.1 Model
By
–

BREAKING: Mistral AI is preparing to launch its multimodal Mistral 2.1 model. This may be the same Pandragon model discovered earlier. It is expected to include a set of beta features: Canvas, image generation, and web search.
-

Full o1 Release Today? Early Rollout Reports
By
–
Full o1 today? Some say it already rolled out for them
-

Cerebras delivers 20x faster LLM inference than NVIDIA GPUs
By
–
3/7 Cerebras LLM Use @cerebras lightning fast inference speed that can delivers 1,800 tokens/sec for Llama 3.1-8B and 450 tokens/sec for Llama 3.1-70B, 20x faster than NVIDIA GPU-based hyperscale clouds.
-

Ollama Multimodal: Image Processing and JSON Mode
By
–
2/7 Ollama multi modal Process images, files and enable JSON mode
-
Flowise v2.1.4 Release: Prometheus, Ollama Multimodal, Cerebras LLM
By
–
Flowise v2.1.4 release Prometheus Grafana, OpenTelemetry Ollama multi modal Cerebras LLM Couchbase Vector Store Override Configuration
Postgres, MySQL support for Agent Memory Global Proxy : -

AI Companies Explore New Techniques to Advance LLM Performance
By
–
How AI companies are exploring new techniques to keep advancing model performance Via The Information As improvements to LLMs, AI companies are exploring a mix of established and innovative techniques to keep advancing model performance. Here’s a look at the strategies they’re
