update tests data

requirements-extra.txt

@@ -2,5 +2,5 @@ motleycache
 lunary==1.1.4
 llama-index==0.11.2
 crewai==0.51.1
-duckduckgo-search==6.2.11
+duckduckgo-search==5.3.0b4
 pglast==6.3

tests/itest_golden_data/validating_agent_output_ipynb.json

@@ -1 +1 @@
-"### Comprehensive Analysis of AI Advancements in 2024\n\n#### Key Trends in AI in 2024\n1. **Generative AI Becomes Mainstream**: Generative AI, which gained significant attention in previous years, is now being widely adopted and integrated into various industries. It is no longer just a hype but a core strategy for many enterprises.\n2. **Increased Use of AI in Business**: Organizations are increasingly using AI to derive business value, with a significant rise in the regular use of generative AI technologies.\n3. **Consolidation of Data and AI Leadership Roles**: There is a trend towards reducing the number of independent technology and data leadership roles, such as chief data and analytics officers, as organizations streamline their AI and data strategies.\n\n#### Breakthrough AI Technologies in 2024\n1. **AI-Powered Scientific Discovery**: AI is being used to accelerate scientific research and discovery, leading to breakthroughs in various fields.\n2. **Elastocalorics**: This emerging technology, which involves materials that change temperature when subjected to mechanical stress, is being enhanced by AI for more efficient applications.\n3. **Advanced Generative AI Models**: State-of-the-art generative AI models are becoming more accessible and useful for non-technical users, leading to widespread experimentation and innovation.\n\n#### Potential Industry Impacts\n1. **Manufacturing**: The manufacturing sector is expected to see the largest financial impact from AI, with significant improvements in efficiency, productivity, and innovation.\n2. **Economic Landscape**: The broad potential of generative AI is triggering a transformation across the global economic landscape, as businesses recognize and leverage its capabilities.\n3. **Daily Life Integration**: AI is becoming seamlessly integrated into daily life, influencing various aspects of personal and professional activities.\n\n#### AI Applications in Physics\n1. **Classifying Phase Transitions**: Researchers have developed a physics-informed generative AI technique to classify phase transitions in materials or physical systems more efficiently than existing machine-learning approaches.\n2. **Coupling AI with Fundamental Physics**: AI is being coupled with fundamental physics to enable faster calculations and enhance our understanding of physical phenomena.\n\nIn conclusion, 2024 marks a pivotal year for AI, with generative AI taking center stage, significant technological breakthroughs, and profound impacts across various industries. The advancements in AI are not only transforming businesses but also reshaping the global economic landscape and daily life, as well as driving new paradigms in scientific research and discovery."
+"### Comprehensive Analysis of AI Advancements in 2024\n\n#### Key Trends in AI in 2024\n\n1. **Explosive Growth of Generative AI and Multimodal AI**:\n   - Generative AI continues to evolve, becoming more accessible and useful for non-technical users. This trend is marked by the proliferation of small, specialized AI models that individuals and businesses can tinker with.\n   - Multimodal AI, which integrates multiple types of data (e.g., text, images, audio), is gaining traction, enabling more sophisticated and versatile AI applications.\n\n2. **Quantum AI**:\n   - Quantum AI is emerging as a significant trend, promising to revolutionize computational capabilities and solve complex problems that are currently intractable with classical computing.\n\n3. **Explainable AI (XAI)**:\n   - There is a growing emphasis on making AI models more transparent and understandable. Explainable AI aims to demystify the \"black box\" nature of many AI systems, enhancing trust and accountability.\n\n4. **Edge AI**:\n   - The deployment of AI at the edge (i.e., on devices rather than centralized servers) is expanding. This trend is driven by the need for real-time processing and reduced latency in applications such as autonomous vehicles and IoT devices.\n\n5. **AI Governance**:\n   - As AI becomes more integrated into various aspects of society, the importance of AI governance is increasing. This includes developing frameworks for ethical AI use, data privacy, and regulatory compliance.\n\n6. **Intersection of AI and Sustainability**:\n   - AI is being leveraged to address environmental challenges, from optimizing energy use to monitoring climate change. This trend highlights the role of AI in promoting sustainability.\n\n#### Breakthrough Technologies in AI in 2024\n\n1. **Generative AI**:\n   - Generative AI remains a breakthrough technology, with significant investments from enterprises. It is being used to create content, design products, and even generate code, demonstrating its versatility and impact.\n\n2. **AI in Automation**:\n   - Automation technologies powered by AI are transforming industries by streamlining processes, reducing costs, and increasing efficiency. This includes robotic process automation (RPA) and AI-driven decision-making systems.\n\n3. **AI in Personalization**:\n   - AI technologies are enhancing personalization in various sectors, particularly in e-commerce and marketing. Advanced AI algorithms analyze user behavior to deliver tailored experiences and recommendations.\n\n4. **AI in Healthcare**:\n   - Breakthroughs in AI are revolutionizing healthcare, from diagnostic tools to personalized treatment plans. AI is improving patient outcomes and operational efficiency in medical facilities.\n\n5. **AI in Cybersecurity**:\n   - AI is playing a critical role in cybersecurity, helping to detect and respond to threats in real-time. Advanced AI models are being developed to identify vulnerabilities and protect against cyberattacks.\n\n6. **AI in Physics**:\n   - AI is making significant strides in the field of physics. Researchers have developed AI techniques to classify phase transitions in materials more efficiently than existing methods. AI is also being used to formulate physical theories by recognizing patterns in complex data sets, simplifying interactions in physical systems.\n\n#### Potential Industry Impacts of AI Advancements in 2024\n\n1. **Manufacturing**:\n   - The manufacturing industry is expected to see the largest financial impact from AI. AI-driven automation and predictive maintenance are enhancing productivity and reducing downtime.\n\n2. **Healthcare**:\n   - AI is transforming healthcare by enabling early diagnosis, personalized treatments, and efficient management of healthcare resources. This leads to improved patient care and reduced healthcare costs.\n\n3. **Finance**:\n   - In the finance sector, AI is being used for fraud detection, risk management, and personalized financial services. AI-driven analytics provide deeper insights and enhance decision-making.\n\n4. **Retail and E-commerce**:\n   - AI is revolutionizing retail and e-commerce by enhancing customer experiences through personalized recommendations, inventory management, and supply chain optimization.\n\n5. **Entertainment**:\n   - AI technologies, such as deepfake and generative AI, are being used in the entertainment industry to create realistic visual effects, de-age actors, and generate content, pushing the boundaries of creativity.\n\n6. **Energy**:\n   - AI is contributing to the energy sector by optimizing energy consumption, integrating renewable energy sources, and improving grid management, promoting sustainability and efficiency.\n\n---\n\nThis comprehensive analysis highlights the significant advancements in AI in 2024, the key trends shaping the industry, breakthrough technologies, and their potential impacts across various sectors, including the field of physics."