Which chat tool are you using there to run the model with a Google search tool?
CODE
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Claude Sonnet 4 1M Context Window Access Requirements
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Notes on the new 1m context window for Claude Sonnet 4: https://
simonwillison.net/2025/Aug/12/cl
aude-sonnet-4-1m/
… You need to send a beta header of context-1m-2025-08-07 and be on tier 4, which means you have purchased at least $400 in API credits -
LFM2-VL Models: 1.6B and 450M Vision-Language Released
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We also provide an inference and a fine-tuning Colab notebooks. LFM2-VL-1.6B: https://
huggingface.co/LiquidAI/LFM2-
VL-1.6B
… LFM2-VL-450M: https://
huggingface.co/LiquidAI/LFM2-
VL-450M
… -
CulturalGround: Scalable Multilingual VQA Data Pipeline from Wikidata
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CulturalGround data construction: We designed a scalable pipeline to create culturally grounded multilingual VQA data from Wikidata, a structured knowledge base. Our data curation pipeline:
– Cultural Entity Selection: Extract 3M+ culturally relevant entities from Wikidata -
Top Artificial Intelligence Books for Career Growth and Learning
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Explore TOP #Artificialintelligence Books for reading, learning, growing your knowledge and advancing your career: http://
amzn.to/2YRE6Sj
——— ———
#DataScience #DataMining #MachineLearning #AI #DeepLearning #Mathematics #GenerativeAI #LLMs #Algorithms #DataScientist #Python -
Databricks Asset Bundles: Deployment Customization for Data Projects
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Databricks Asset Bundles bring software engineering best practices like version control, CI/CD integration, and automation to your data and AI projects. Explore practical techniques for customizing deployments across different targets in Asset Bundles. With these strategies,
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Learn Quantum Computing with Python and IBM Quantum Platform
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Learn #QuantumComputing with #Python and IBM Quantum — Write your own practical quantum programs with Python [2nd Edition]: http://
amzn.to/3F3PdlD via @PacktDataML ——
𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Get familiar with the features within the IBM Quantum Platform -
LLM Engineer’s Handbook: Master Large Language Models from Concept to Production
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LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on -
Machine Learning Techniques for Handling Imbalanced Data
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#MachineLearning & #DeepLearning Techniques for Handling Imbalanced Data: http://
amzn.to/3Wuch3C v/ @PacktDataML —
What you will learn:
Explore the metrics used when classes are imbalanced.
Use imbalanced data in your machine learning models effectively.
Understand how and -
Microsoft launches Data Formulator, AI-powered open-source visualization tool
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Microsoft released an AI powered data analysis tool! Data Formulator is an AI-powered tool for analysts to iteratively create rich visualizations. It's no-code & 100% open-source