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The new small language model can help developers build multimodal AI applications for lightweight computing devices, Microsoft says.
This could force rivals to cut costs, intensify competition, and reshape enterprise AI adoption strategies.
Microsoft steers its agentic AI development kit toward complex workflows using the Agent Framework and no-code agent development using AutoGen.
DataStax’s AstraDB will enhance the existing vector capabilities of IBM watsonx.data, while Langflow will add flexible middleware capabilities to watsonx.ai, IBM said.
The free version offers 180,000 lines of code completion per month, where rivals offer just 2,000 lines free.
Google’s AI coding assistant can help you write, test, debug, and document your code, but currently lacks whole-repo code generation and agents for long-running coding tasks.
MongoDB wants Voyage AI’s embedding and reranking models to help enterprises with RAG in their AI applications.
Azure AI Foundry Labs will enable developers to experiment with new models and explore the latest frameworks, the company said.
Deep neural networks have hit a wall. An entirely new, backpropagation-free AI stack promises to be orders of magnitude more performant.
Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes.