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The article discusses the author's experience with Google's new Gemini Android assistant and expresses skepticism about its effectiveness as a replacement for Google Assistant. The author argues that Gemini, as a generative AI chatbot, lacks a clear purpose and does not fulfill the basic tasks and functions that users expect from a phone assistant. The article highlights the slower and less reliable performance of Gemini compared to Google Assistant, as well as its inability to handle certain tasks. The author suggests that Google should focus on improving Google Assistant rather than replacing it with Gemini. [Extracted from the article]

Large language models (LLMs) are the foundation of chatbots like OpenAI's ChatGPT and Google's Bard. LLMs are trained on massive amounts of data, including articles, books, and internet resources, to generate human-like responses to natural language queries. They work by predicting the next word based on what they have already seen. LLMs can be biased if the data they ingest is biased, and prompt engineering is a process that allows users to train LLMs for specific purposes. Smaller LLMs are being developed to reduce costs and improve efficiency. However, there are concerns about privacy, security, and ethical use of data collected by LLMs. Efforts are being made by governments and organizations to regulate and govern AI tools. [Extracted from the article]

According to a report by Cloudflare, global internet traffic increased by 25% in 2023, indicating a growing reliance on online services. Google remained the most popular website, followed by Facebook, Apple, and TikTok. OpenAI emerged as the leader in generative AI services, with other notable players including Character AI, Quillbot, and Hugging Face. Financial organizations were the primary targets for cyberattacks, with deceptive links and extortion attempts in emails being the most common threats. Internet outages also increased, often due to government-imposed shutdowns. Smartphones were the preferred device for accessing the internet, with Apple devices being popular among users. Generative AI became a significant trend, with OpenAI's ChatGPT launch gaining attention. Cloudflare used its complimentary service, Cloudflare Radar, to gather data for the report. Elon Musk's Twitter, now known as X, experienced a decline in popularity throughout the year. Internet outages increased, with over 180 incidents reported globally. Security concerns included vulnerabilities like Log4j and HTTP/2 Rapid Reset, as well as ransomware, malware, and phishing attacks. [Extracted from the article]

Generative AI tools, such as OpenAI's ChatGPT, have been integrated into various office apps to enhance productivity. However, determining the pricing for these features poses a challenge for software vendors. Some vendors charge premium prices, while others offer lower costs to encourage adoption. The pricing strategies vary, with Microsoft offering Copilot for Microsoft 365 at $30 per user per month for large customers, while Google charges $30 per user per month for Duet AI for Workspace. Some vendors, like Zoom and Cisco, provide generative AI features at no extra cost, while Box offers credit-based access. The pricing landscape is still evolving, with vendors experimenting to find the right balance between revenue and market positioning. [Extracted from the article]

Google today announced it is embedding its conversational,Bard chatbot into many of its most popular apps, allowing users to get human-like responses to questions, summarize Gmail messages, and search Google Docs and Youtube. Microsoft has added ChatGPT functionality to its suite of Microsoft 365 business productivity and collaboration apps through its own Copilot chatbot assistant. [Extracted from the article]

News Five months after Google announced it was launching its owngenerative AI chatbot, the company has addressed the data privacyissues that had previously made it inaccessible to EU residents. Like other generative AI chatbots, Bard is powered by a largelanguage model (LLM), in this case a lightweight variant ofLaMDA, Google's main natural-language processing model. [Extracted from the article]

Large language models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. What are LLMs, and how are they used in generative AI? When LLMs focus their AI and compute power on smaller datasets, however, they perform as well or better than the enormous LLMs that rely on massive, amorphous data sets. The chatbot's foundation is the GPT large language model (LLM), a computer algorithm that processes natural language inputs and predicts the next word based on what it's already seen. [Extracted from the article]

According to a UBS study, ChatGPT reached 100million active users just two months after launch, making it the fastest-growing consumer application ever. microsoft bing ai image Microsoft An example of a Bing search using OpenAI's chatbot technology. Google: the new AI-driven search wars are on What Google did was rush its own AI-search chat bot Bard to market, where it promptly, and prominently blundered with a wrong answer. [Extracted from the article]