Baidu steps into the AI spotlight with two powerful new tools: Lemur, a coding-focused chat agent designed to assist developers by generating and debugging code with impressive accuracy, and Ernie 4.0, Baidu’s advanced large language model rivaling GPT-4 in performance and versatility.
Lemur boosts programming productivity by offering context-aware suggestions and real-time problem-solving, while Ernie 4.0 expands Baidu’s AI capabilities across natural language understanding, generation, and multimodal tasks. Together, they showcase Baidu’s commitment to advancing AI innovation on the global stage.
00:00Researchers from the University of Hong Kong, Xlang Lab, Salesforce Research, CAI Lab, University of Washington, and MIT CSL have just unveiled something extraordinary.
00:12Lemur and Lemur Chat, two amazing AI models that can harmonize natural language and code for advanced language agents.
00:19Sounds pretty cool, right?
00:21Well, trust me, it's even cooler than you think.
00:23Also, in the second part of the video, we'll discuss Baidu's latest AI, Ernie 4.0.
00:30They say it's as good as OpenAI's GPT-4.
00:33But before we dive into that, let's talk about Lemur AI models.
00:37First of all, language agents are software programs that communicate using natural language to interact with humans or other agents.
00:44However, if you want to use language agents for more advanced tasks like searching for code snippets based on a description, generating code from a description, or translating documentation, it gets more challenging.
00:56These tasks need both natural language skills and coding expertise, which many language agents lack.
01:03Most current agents use large language models because they're good at understanding and generating natural language, but often struggle with code.
01:11Code has its own rules and is more exact than natural language, needing more logic and execution ability.
01:17So how can we bridge this gap between natural language and code?
01:20How can we create language agents that can handle both types of languages seamlessly?
01:25Well, that's exactly what this team of researchers have done.
01:28They have developed Lemur and Lemur Chat, two state-of-the-art models that can harmonize natural language and code for advanced language agents.
01:36These models are based on LAMA-270B, which is a 70-billion-parameter LLM that was trained on 2 trillion tokens of text data.
01:45However, the researchers improved this model by using a code-centric corpus called the STAX, which contains 90 billion tokens of text and code data with a 10-1 ratio.
01:54This way, they ensured that the model has enough exposure to both types of languages and can learn their similarities and differences.
02:01Lemur is the general-purpose model that can handle various tasks involving text and code.
02:07Lemur Chat is the specialized model that is optimized for dialogue use cases.
02:12To create Lemur Chat, the researchers fine-tuned Lemur using 100K instances from both text and code data.
02:19They also used reinforcement learning with human feedback to align the model with human preferences for helpfulness and safety.
02:27Now, according to the paper, these models are pretty awesome.
02:30The researchers evaluated them on eight text and code benchmarks covering different scenarios such as code search, code summarization, code translation, text-to-code generation, documentation translation, etc.
02:44They found that Lemur and Lemur Chat outperformed all the other open-source models on these benchmarks by a large margin.
02:50They also compared Lemur Chat with some popular closed-source models like ChatGPT and POM on 13 agent benchmarks involving human communication, tool usage, and interaction under different environments.
03:04They found that Lemur Chat significantly narrowed the gap with these models on agent abilities.
03:09This means we now have advanced models that can assist with tasks related to natural language and code.
03:16These models can help us develop smarter language tools for everyday use.
03:19They also let us explore how natural language and code work together.
03:24It's impressive that these models can communicate like humans and code like experts.
03:28I'm eager to see their potential in the future.
03:31Alright, now let's talk about a huge announcement that just came out of China.
03:35Baidu, the company behind China's largest internet search engine, has unveiled its latest generative AI model, Ernie 4.0.
03:43And guess what?
03:44They claim that it's on par with OpenAI's GPT-4, the most powerful AI model in the world right now.
03:50That's insane, right?
03:52Well, let me lay it all out and then you can judge.
03:55Alright, so Baidu has introduced Ernie 4.0, their latest AI model.
04:00They've been developing Ernie, short for Enhanced Representation Through Knowledge Integration, since 2019.
04:07This model learns from different knowledge sources to better understand the world.
04:11At Baidu World 2023, CEO Robin Lee announced that Ernie 4.0 has greatly improved in understanding, generation, reasoning, and memory.
04:21These improvements are crucial for AI applications and open doors for new innovations.
04:25Lee believes Ernie 4.0 matches GPT-4 and meets human standards on many benchmarks.
04:32To demonstrate the new model capabilities, Lee showed some live examples of how new Ernie can handle different tasks and scenarios using its four core capabilities.
04:42He asked it to plan a family trip to Japan during cherry blossom season, and it quickly provided a detailed plan, including flight details and tips for enjoying the blossoms.
04:51He also gave it a text prompt about a dragon and a picture of mountains, and Ernie made an impressive artwork of a dragon flying over those mountains.
05:00When challenged with geometry problems, it not only solved them, but also explained its answers.
05:06Additionally, Lee had it write a martial arts story, and even as he kept adding new details, Ernie seamlessly included them in its narrative.
05:13The performance was quite remarkable, showing Ernie's versatility and ability to produce creative content.
05:19However, some experts were skeptical, noting it didn't seem much different from its predecessor, Ernie 3.0, and wondered how it stacks up against GPT-4.
05:28Baidu's CTO, Wang Haifeng, mentioned that since the model began beta testing in September, its performance has improved by almost 30%.
05:37It now has over 45 million users and has received good feedback.
05:42Baidu plans to incorporate generative AI across its offerings like Baidu Search, Baidu Drive, and Baidu Maps.
05:50This will allow for more personalized user experiences.
05:53For instance, Baidu Search could give tailored answers instead of just a bunch of links.
05:58Baidu Drive can assist in organizing files using natural language commands.
06:02Moreover, new AI-powered tools are on the horizon, such as the Baidu Wenku Smart Writer, which assists in content creation, and the Baidu InfoFlow Smart Video Maker for easy video production.
06:14Baidu is embracing an AI-focused strategy, aiming to transition from being purely internet-based to leveraging the power of AI.
06:22They see generative AI as pivotal in bringing innovative solutions to their users.
06:26But while generative AI offers many benefits and opportunities for innovation and creativity, it also poses some challenges and risks for security and regulation.
06:36That's why China has recently proposed some new rules and guidelines for managing generative AI services in the country.
06:42According to the interim measures for the management of generative artificial intelligence services issued by China's internet regulator in July this year,
06:50generative AI service providers must register their services with the authorities before launching them to the public.
06:57They must also conduct a security assessment of their services and ensure that they comply with the laws and regulations of China.
07:05China also has a blacklist of banned training sources for AI models.
07:09Released by the Ministry of Industry and Information Technology, it includes sources with illegal or harmful info like violence, terrorism, and more.
07:18The goal is to keep AI from generating harmful content and to ensure a healthy AI sector in China.
07:25Along with this, China has guidelines like the Beijing AI principles, emphasizing respect for human rights, fairness, transparency, and more in AI development.
07:34For Ernie 4.0 and Baidu, this means they must follow these guidelines in China, ensuring their AI services are ethical and beneficial.
07:43However, it's also a chance for them to display their AI skills globally, offering value across different areas and competing with other big AI companies like OpenAI.
07:53So, what are your thoughts on Baidu's generative AI strategy, especially Ernie 4.0?
07:59Can they compete with GPT-4 and OpenAI?
08:02Share your thoughts in the comments.
08:04That's all for today's video.
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08:14Thanks for watching and see you in the next one.
