Reflecting on the Evolution of Generative AI: important research and learning path
In the ever-evolving landscape of artificial intelligence, the field of Generative AI stands as a beacon of innovation and transformative potential. This article shares some of the key research in the world of Generative AI, exploring its intricate developments and groundbreaking achievements. From the pioneering works of OpenAi’s ChatGPT, Google’s bard to the advanced functionalities of upcoming models like Claude MistralAI Phi2 perplexity.ai huggingface midjourney, we traverse the path of large and small language models and their impactful research.
Additionally, as we get to the integration of AI with curated knowledge graphs, we see a great potential to be unlocked. Delve into some of the educational resources that are shaping the next generation of AI enthusiasts and professionals. These technical and research papers not only highlight the significant strides made in Generative AI but also provide a glimpse into the future, where the boundaries of technology and human creativity continue to expand.
Large Language Models
Attention Is All You Need https://arxiv.org/pdf/1706.03762.pdf
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks https://arxiv.org/pdf/2005.11401.pdf
Tree of Thoughts: Deliberate Problem Solving with Large Language Models https://arxiv.org/pdf/2305.10601.pdf
Toolformer: Language Models Can Teach Themselves to Use Tools https://arxiv.org/pdf/2302.04761.pdf
PaLM 2 https://arxiv.org/pdf/2305.10403.pdf
PaLM-E: An Embodied Multimodal Language Model https://arxiv.org/pdf/2303.03378.pdf
Sparks of Artificial General Intelligence: Early experiments with GPT-4 https://arxiv.org/pdf/2303.12712.pdf
Llama 2: Open Foundation and Fine-Tuned Chat Models https://arxiv.org/pdf/2307.09288.pdf
LLaMA: Open and Efficient Foundation Language Models https://arxiv.org/pdf/2302.13971.pdf
OWASP Security and Governance Guidelines for LLM-based applications
Self-Consistency Improves Chain of Thought Reasoning in Language Models https://arxiv.org/pdf/2203.11171v1.pdf
Automatic Prompt Optimization with “Gradient Descent” and Beam Search https://arxiv.org/pdf/2305.03495.pdf
Benchmarking Large Language Model Capabilities for Conditional Generation https://arxiv.org/pdf/2306.16793.pdf
LLM-EVAL: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models https://arxiv.org/pdf/2305.13711.pdf
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models https://arxiv.org/pdf/2305.04091.pdf
Let’s Verify Step by Step https://arxiv.org/pdf/2305.20050.pdf
LIMA: Less Is More for Alignment https://arxiv.org/pdf/2305.11206.pdf
Knowledge Graphs
Unifying Large Language Models and Knowledge Graphs: A Roadmap: https://arxiv.org/pdf/2306.08302.pdf
Large Language Models on Graphs: A Comprehensive Survey https://arxiv.org/pdf/2312.02783.pdf
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities https://arxiv.org/pdf/2305.13168.pdf
Courses
Introduction to Generative AI Learning Path https://www.cloudskillsboost.google/paths/118
Generative AI for Everyone https://www.deeplearning.ai/courses/generative-ai-for-everyone/
Prompt Engineering for genAI https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
As we conclude our exploration of the Generative AI landscape, it’s evident that this field is not just about technological advancement but also about the profound impact it has on how we interact with information, solve complex problems, and envision the future. The research papers, ranging from “Attention Is All You Need” to the latest developments in knowledge graphs, reflect a vibrant and dynamic domain brimming with possibilities.
The courses and resources from prestigious platforms like DeepLearning.AI and Google genAI learning underscore the accessibility and inclusiveness of AI education. As we witness the ongoing contributions from tech giants like Microsoft Nvidia Meta Netflix Google OpenAI, it becomes clear that Generative AI is not just a fleeting trend but a cornerstone of our digital era. The journey through this landscape is not merely an academic one; it is a path that leads us toward a more connected, intelligent, and imaginative world.
