TechPression

Tag: Generative AI

  • OpenAI streamlines AI voice assistant development

    OpenAI streamlines AI voice assistant development

    While it battles with digital behemoths to stay competitive in the generative AI race, OpenAI revealed a slew of new tools on Tuesday that would facilitate developers in creating apps based on its artificial intelligence technology. These tools are used to construct applications.

    Read also: OpenAI’s ChatGPT gets a voice upgrade, redefining AI interaction

    Simplified AI speech app development

    The Microsoft-backed business (MSFT.O) announced that developers can construct AI speech apps with only one set of instructions by utilising a new real-time tool available for testing. Previously, developers had to complete at least three phases in the process: transcription of audio, query processing using a generated-text model, and lastly, use of an independent text-to-speech model.

    The deployment of enhanced capabilities is a central selling point for OpenAI, as the company receives a significant portion of its income from companies utilising its services to develop their AI applications. The competition has also intensified as significant players in the technology industry, such as Alphabet, the parent company of Google (GOOGL.O), open new tabs and include AI models that can analyse text, audio, and video data throughout their enterprises.

    Anticipated Revenue Growth and Ongoing Financing

    OpenAI anticipates its income to increase to $11.6 billion next year from an expected $3.7 billion in 2024. Additionally, a $6.5 billion financing is underway for the corporation, which may bring its valuation to $150 billion.

    Open AI’s new fine-tuning tool for post-training enhancements

    Read also: How the tech-powered digital nomad trend impacts work life

    OpenAI debuted a fine-tuning tool for models post-training on Tuesday, enabling developers to enhance the replies produced by models using text and graphics. Depending on the model’s responses, Humans may provide examples of both excellent and negative replies as part of this fine-tuning process. According to OpenAI, fine-tuning models with photographs will strengthen their ability to grasp images, opening up possibilities for greater object identification for autonomous cars and better visual search.

    The business also introduced “Prompt Caching,” which reduces development expenses by half by reusing portions of the text that AI has already analysed. This tool would enable smaller models to learn from bigger ones, making development more efficient and cost-effective.

    These advancements showcase OpenAI’s commitment to providing powerful tools for developers while maintaining its competitive edge in the fast-evolving AI landscape.

  • How Generative AI can boost empathy in healthcare

    How Generative AI can boost empathy in healthcare

    Companies in every sector are rushing to implement innovative tech solutions, such as ChatGPT, virtual reality, and generative AI, in order to maintain a competitive edge. A more measured approach to digitisation, centring on the actual effects, quality, and expense of these innovations, is necessary for the healthcare sector, which is accountable for the lives and welfare of many.

    A fundamental component of efficient healthcare delivery is empathy, which is defined as the capacity to comprehend and experience the emotions of another. The potential for it to improve medical professionals’ capacity for empathy is explored here.

    The potential of Generative AI to greatly improve empathy in the medical field is an intriguing area that needs further investigation. 

    Read also: How Generative AI can help education in developing nations

    How AI enables empathy

    Generative AI makes it possible to run realistic simulations that mimic real-life patient situations. By putting themselves in the shoes of virtual patients, medical professionals can practise empathy and problem-solving skills in a risk-free environment. 

    Medical practitioners can improve their capacity for empathy by immersing themselves in diverse scenarios created by artificial intelligence simulations. This will help them better understand cultural differences, emotional states, and patient experiences.

    It’s possible to make training modules that are specific to each person’s learning style and skill level. By tailoring training to each individual’s needs, medical professionals are able to provide more compassionate care to their patients. Examples of AI-generated modules that could address essential components of empathy in healthcare settings include active listening skills, communication strategies, and the ability to recognise non-verbal cues.

    AI as virtual assistants

    Virtual assistants and chatbots powered by generative AI can help medical professionals develop their empathy. These AI-driven entities can mimic patient interactions by dynamically responding according to preprogrammed emotional states and behaviours. 

    By interacting with these AI-powered entities, healthcare providers can practise responding empathetically to different situations, allowing them to understand better and meet the emotional needs of their patients.

    Generating data

    Its ability to generate massive volumes of anonymised patient data is another significant feature. Medical practitioners can better understand and empathise with their varied patient populations by analysing this data to learn about patients’ experiences, emotions, and preferences. 

    The quality of treatment patients receive is improved when healthcare practices are adjusted to better address their emotional and psychological needs through the use of this data-driven approach.

    Encouraging emotional support and compassion

    Amid the movement towards value-based healthcare models, worries have surfaced regarding the capacity of doctors to effectively manage emotional exhaustion while showing genuine empathy to each and every one of their patients. As a kind of burnout, compassion fatigue impairs healthcare workers’ ability to empathise with patients, as well as their clinical judgement, patient satisfaction, and the quality of care they provide. 

    Due to labour and time constraints, healthcare workers face additional challenges in providing effective, compassionate care. AI can help with tasks by making them easier to complete, identifying when someone is upset, and possibly facilitating more empathic interactions. Although AI lacks empathy, it is capable of simulating compassionate dialogues in a time-efficient manner that human clinicians simply cannot match.

    It can help pick up on nuanced emotional signals that humans might miss. Artificial intelligence (AI) can help healthcare providers better understand and manage their patients’ emotional states by analysing non-verbal cues such as facial expressions and voice tone. Better patient-provider relationships result from increased sensitivity to patients’ feelings, which fosters trust, rapport, and empathy.

    Medical treatment Improved healthcare accessibility, streamlined administrative processes, and better patient experiences are all areas where AI has shown promise. However, AI does have some limitations, such as using old data, needing human supervision, and struggling to handle human emotions correctly. There needs to be a system in place to protect patient’s personal information, and we should aim to use AI to supplement human empathy rather than supplant it.

    AI has the potential to improve compassionate care by assisting doctors, saving them time, and putting the patient’s experience first. But we must not lose sight of the human element in healthcare; rather, we must use AI to supplement, not replace, human empathy. 

    At present, AI is used to improve efficiency, reduce emotional labour, and free up healthcare workers to focus on the human aspect of patient care. Despite the progress in AI, it is critical to remember that human empathy is still very important in healthcare. When technology and compassion work together, it can greatly enhance patient outcomes and experiences.

  • Visa invests $100 million in generative AI firms

    Visa invests $100 million in generative AI firms

    Visa, a company that lets people pay with credit cards, has announced a new $100 million programme to invest in the next generation of companies working on generative AI technologies and apps that will change the future of business and payments. 

    Visa said that the effort is an extension of the company’s leadership in using AI to drive payment innovation, create value for partners and clients, and allow and empower global commerce.

    Visa Ventures, which is Visa’s global corporate investment arm, will be responsible for the project. Visa says that since 2007, it has invested in and worked with companies, making payments and commerce more innovative. 

    Generative AI, like the popular OpenAI’s ChatGPT, is an emerging branch of AI built on big Language Models (LLMs) to create artificial general intelligence that can create text, images, and other content from enormous sets of existing data when given instructions.

    Read also: Nigerian AI app LexiGenius helps with writing

    AI in business 

    In a statement released by the company, Jack Forestell, Chief Product and Strategy Officer at Visa Inc., said: 

    “Generative AI has mostly focused on tasks and content creation, but it will soon change how we live, work, and do business in ways we need to understand.” 

    Visa Ventures Head David Rolf said, “Generative AI has the potential to be one of the most transformative technologies of our time, so we are excited to invest in some of the most innovative and disruptive venture-backed startups building in generative AI, commerce, and payments.”

    Tanzania’s media council urges vigilance amidst AI advancements

    Tech titans are prioritizing AI

    Visa’s news was the latest by a tech giant worldwide to say it was investing in AI. Amazon said about a week ago that it would put up to $4 billion into the AI company Anthropic. 

    The e-commerce group said it will put $1.25 billion into Anthropic at first for a minority share. Anthropic, like Google’s Bard and Microsoft-backed OpenAI, runs an AI-powered chatbot that reads text and responds to questions. As part of the deal, Amazon said it can put $4 billion into Anthropic. 

    Microsoft expanded its collaboration with OpenAI, the company behind the ground-breaking ChatGPT tool, earlier this year. With the partnership came a promise to put much money into the AI business.

    Microsoft had invested over $3 billion in OpenAI, and the partnership extension showed how important its technology is to Microsoft’s future and its fight with Google, Meta, and Apple.

  • G7 urges ‘responsible’ use of Generative AI

    G7 urges ‘responsible’ use of Generative AI

    Governments around the world face mounting pressure to swiftly address the risks associated with Artificial Intelligence (AI).

    G7 leaders have emphasized the urgent need to evaluate the impact of generative AI and announced their intention to initiate discussions this year regarding the responsible utilization of this technology.

    To tackle various concerns ranging from copyright infringement to disinformation, the G7 nations released a final communique during the summit in Hiroshima, Japan, affirming the establishment of a working group.

    Read also: Ghana To Develop Regulation On Artificial Intelligence

    AI and Copyright

    The G7 statement acknowledges the pressing need to assess both the opportunities and challenges posed by generative AI, which has gained increasing prominence across various countries and sectors.

    Text generation tools like ChatGPT, AI-based image creators, and algorithmically composed music have evoked mixed reactions, eliciting both delight and alarm. Creators have accused these tools of utilizing their materials without permission, leading to legal disputes.

    Governments worldwide are under significant pressure to mitigate the associated risks of AI promptly. The CEO of OpenAI, the organization behind ChatGPT, recently emphasized to US lawmakers the essentiality of regulating AI.

    The G7 has tasked relevant ministers with establishing the Hiroshima AI process through an inclusive G7 working group. The aim is to facilitate discussions on generative AI by the end of the year.

    These discussions will cover a wide range of topics, including governance, the protection of intellectual property rights (including copyrights), the promotion of transparency, combating foreign information manipulation (including disinformation), and the responsible use of these technologies.

    Working groups to collaborate with OECD, GPAI

    According to the statement, the newly formed working group will collaborate with the Organization for Economic Cooperation and Development (OECD) and the Global Partnership on Artificial Intelligence (GPAI), which consists of developed countries.

    The initiative will focus on responsible AI, data governance, the future of work, and innovation, among other areas. 

    The partnership aims to bring together experts and stakeholders from science, industry, and government to advance the development and deployment of AI in a manner that is beneficial for all.

    Sam Altman, CEO of OpenAI, ChatGPT visits Lagos, Nigeria

    OpenAI CEO testifies

    During his testimony before a US Senate panel recently, Sam Altman, CEO of OpenAI, called on Congress to enact new regulations for big tech companies. 

    Altman expressed his belief that generative AI developed by his company could eventually contribute to addressing significant global challenges such as climate change and cancer treatment. 

    However, he emphasized that regulatory intervention by governments is crucial to mitigate the risks associated with increasingly powerful AI models.

    In a separate development, European Parliament lawmakers have taken an initial step towards implementing EU-wide regulations for ChatGPT and other AI systems. The proposed legislation will be presented to the full parliament for adoption next month, followed by negotiations with EU member states to finalize the law.

    The G7 highlighted that while rapid technological advancements have brought benefits to societies and economies, the international governance of new digital technologies has not kept pace. The group emphasized the importance of updating the governance of the digital economy, including AI and emerging technologies like immersive metaverses, in accordance with shared democratic values. These values encompass principles such as fairness, respect for privacy, and protection from online harassment, hate, and abuse, among others.