On the sidelines of COP 28 in Dubai this morning, H.E. President Dr. William Ruto reached an agreement with the CEO of the Global Center on Adaptation (GCA), Dr. Patrick Verkooijen which will enable the construction of GCA headquarters at Kenya School of Government (KSG) in Nairobi beginning in March 2024.
This is in line with plans to accelerate climate change finance efforts in Africa. According to GCA, Africa currently receives only 20 per cent of all climate adaptation finance flows globally, significantly short of the 5 to 10 times the estimated $2.8 trillion through 2030 of additional financial resources required for Africa to effectively adapt to the climate crisis. Africa as GCA advises, may need a nearly tenfold increase in climate adaptation funding to $100 billion a year if it is to buttress its infrastructure, improve climate early warning systems, and shield its agriculture from climate change.
Cabinet Secretary for Public Service, Performance and Delivery Management, Hon. Moses Kuria said the agreement was an incredible milestone and that it was timely for Africa.
“Raising Green Finance for Climate Adaptation is of utmost urgency, especially in Africa. President Ruto has led from the front in this endeavour,” he said.
Hon. Kuria also said the construction of GCA Headquarters at KSG will help transform KSG into a centre of knowledge and expertise on Climate Change and Adaptation matters which he noted is a key pillar in the ministry’s vision to reestablish KSG into a modern institute.
Highlights of the agreement include:
1. That the GCA Headquarters in KSG will be the Africa headquarters and serve the whole continent. 2. Mazingira House will be the Headquarters for Kenya’s Ministry of Environment, Climate Change & Forestry. 3. The construction of 40 High-End Green Luxury Living Residential Units. 4. The construction of 50 Presidential Villas that will be managed by KSG.
5. That GCA will co-host the Global Conference for Schools of Governments and Think Tanks on African Affairs at KSG in March 2024 with AU-NEPAD, Afriexim Bank, Africa Development Bank, AAP, AfCFTA, Harvard Kennedy School of Government, Columbia University and the Bill & Melinda Gates Foundation. The conference will coincide with the groundbreaking of the GCA Headquarters.
COP 28 is the United Nations Climate Change Conference taking place in Dubai, United Arab Emirates, from 30 November until 12 December 2023. COP 28 stands for the 28th meeting of the Conference of the Parties (COP) to the UN Framework Convention on Climate Change (UNFCCC).
UN Climate Change conferences (or COPs) take place every year and are the world’s only multilateral decision-making forum on climate change with almost complete membership of every country in the world. The conferences bring the world together to agree on ways to address the climate crisis, such as limiting global temperature rise to 1.5 degrees Celsius, helping vulnerable communities adapt to the effects of climate change, and achieving net-zero emissions by 2050.
More than 70,000 delegates are attending COP28, including the member states (or Parties) of the UNFCCC. Business leaders, young people, climate scientists, Indigenous Peoples, journalists, various experts and stakeholders are also among the participants.
You will also gain practical skills through the hands-on demo on building chatbots using Python. The most popular applications for chatbots are online customer support and service. They can be used to respond to straightforward inquiries like product recommendations or intricate inquiries like resolving a technical problem. In sales and marketing, chatbots are being used more and more for activities like lead generation and qualification.
Yes, Python is commonly used for building chatbots due to its ease of use and a wide range of libraries.
To do this, you can get other API endpoints from OpenWeather and other sources.
Next, run python main.py a couple of times, changing the human message and id as desired with each run.
The above execution of the program tells us that we have successfully created a chatbot in Python using the chatterbot library.
In this tutorial, we’ll be building a simple chatbot that can answer basic questions about a topic. We’ll use a dataset of questions and answers to train our chatbot. Our chatbot should be able to understand the question and provide the best possible answer. Python AI chatbots are essentially programs designed to simulate human-like conversation using Natural Language Processing (NLP) and Machine Learning. Using the ChatterBot library and the right strategy, you can create chatbots for consumers that are natural and relevant. A Python chatbot is an artificial intelligence-based program that mimics human speech.
thoughts on “How to Build Your AI Chatbot with NLP in Python?”
You can easily expand the functionality of this chatbot by adding more keywords, intents and responses. With the rise in the use of machine learning in recent years, a new approach to building chatbots has emerged. Using artificial intelligence, it has become possible to create extremely intuitive and precise chatbots tailored to specific purposes. In this article, we have learned how to make a chatbot in python using the ChatterBot library using the flask framework. Don’t be in the sidelines when that happens, to master your skills enroll in Edureka’s Python certification program and become a leader.
If you want to deploy your chatbot on your own servers, then you will need to make sure that you have a strong understanding of how to set up and manage a server.
Keep in mind that the chatbot will not be able to understand all the questions and will not be capable of answering each one.
Even during such lonely quarantines, we may ignore humans but not humanoids.
But now, it takes only a few moments to get solutions to their problems with Chatbot introduced in the dashboard. It is productive from a customer’s point of view as well as a business perspective. Chatbots work more brilliantly the more people interact with them. First, Chatbots was popular for its text communication, and now it is very familiar among people through voice communication.
Two types of chatbots
This is a basic tutorial to create your own chatbot with ChatterBot library using List Trainer from Python. You can also enhance this and can ChatterBot Corpus (ChatterBotCorpusTrainer) that contains data to train chatbots to communicate. The chatbot function takes statement as an argument that will be compared with the sentence stored in the variable weather. This chatbot will use OpenWeather API to tell the user about the current weather in any city in the world. Run your Python script, and you’ll have your chatbot up and running!
In the code above, we first set some parameters for the model, such as the vocabulary size, embedding dimension, and maximum sequence length. We use the tokenizer to create sequences and pad them to a fixed length. For instance, Python’s NLTK library helps with everything from splitting sentences and words to recognizing parts of speech (POS).
What is a chatbot?
Now that we’re familiar with how chatbots work, we’ll be looking at the libraries that will be used to build our simple Rule-based Chatbot. The simplest form of Rule-based Chatbots have one-to-one tables of inputs and their responses. These bots are extremely limited and can only respond to queries if they are an exact match with the inputs defined in their database. The design of ChatterBot is such that it allows the bot to be trained in multiple languages. On top of this, the machine learning algorithms make it easier for the bot to improve on its own using the user’s input. While the ‘chatterbot.logic.MathematicalEvaluation’ helps the chatbot solve mathematics problems, the ` helps it select the perfect match from the list of responses already provided.
These chatbots are inclined towards performing a specific task for the user. Chatbots often perform tasks like making a transaction, booking a hotel, form submissions, etc. The possibilities with a chatbot are endless with the technological advancements in the domain of artificial intelligence.
If you need professional assistance to build a more advanced chatbot, consider hiring remote Python developers for your project. To a human brain, all of this seems really simple as we have grown and developed in the presence of all of these speech modulations and rules. However, the process of training an AI chatbot is similar to a human trying to learn an entirely new language from scratch. The different meanings tagged with intonation, context, voice modulation, etc are difficult for a machine or algorithm to process and then respond to. NLP technologies are constantly evolving to create the best tech to help machines understand these differences and nuances better.
How to Build Your Own AI Chatbot With ChatGPT API: A Step-by-Step Tutorial – Beebom
How to Build Your Own AI Chatbot With ChatGPT API: A Step-by-Step Tutorial.
In lines 9 to 12, you set up the first training round, where you pass a list of two strings to trainer.train(). Using .train() injects entries into your database to build upon the graph structure that ChatterBot uses to choose possible replies. In the previous step, you built a chatbot that you could interact with from your command line.
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We cannot stress enough the importance of multimedia such as images, infographics, and videos in development. However, the size of images affects the overall performance of an application and its usability. They’re there to sort out your banking queries, help with transactions, and offer money-smart advice, all at your convenience. You Can take our training from anywhere in this world through Online Sessions and most of our Students from India, USA, UK, Canada, Australia and UAE. Get Resume Preparations, Mock Interviews, Dumps and Course Materials from us. To ensure that all the prerequisites are installed, run the following command in the terminal.
Moreover, from the last statement, we can observe that the ChatterBot library provides this functionality in multiple languages. Thus, we can also specify a subset of a corpus in a language we would prefer. Let us consider the following example of responses we can train the chatbot using Python to learn. Artificial intelligence chatbots are designed with algorithms that let them simulate human-like conversations through text or voice interactions. Python has become a leading choice for building AI chatbots owing to its ease of use, simplicity, and vast array of frameworks. An untrained instance of ChatterBot starts off with no knowledge of how to communicate.
The State Department of Public Service is ramping up mental health and advocacy campaign to enhance awareness about mental health challenges in public service and alleviate the menace.
Key in the campaign is the setting up of counselling and wellness units in the Huduma Centres across the country to purposely bring psychological services closer to the public servants.
The Principal Secretary in the State Department for Public Service, Amos Gachecha, while addressing a section of the media in his Harambee House office ahead of the launch of the Public Service Mental Health Champions Initiative, said the campaign will be augmented by the establishment of the Psychological Assessment Center for public servants.
“The Center (Psychological Assessment Center) will enrich, supplement, enhance and promote the effectiveness of the mental health services in the Public Service,” he said adding that psychological testing and assessment, which is a scientifically-driven process, will also be deployed in the entire service to help promote objectivity, enhance effectiveness, reliability and validity of decisions made in mental health matters.
Mental health has become an issue of concern lately, not only in Kenya but globally as well. The World Health Organisation reports that one-in-four people are likely to experience a mental health problem at some point in their lives while an estimated 300 million people are suffering from depression which is a major contributor to over 800,000 cases of suicide every year.
A recent survey conducted by United Nations Agency responsible for international public health, involving 130 countries reveals that while mental health problem and their attendant negative impact continues unabated, over 93 percent of countries worldwide are experiencing a disruption or a halt in the provision of critical mental health services. This has made it difficult for individuals in need of critical mental health services to access the same.
In Kenya, the trends mirror the global pattern. The Kenya Mental Health Investment Case-2021, estimates that close to half of Kenyan adults have experienced at least one mental health condition in their lifetime. These conditions are the source of untold human suffering, and public health burden, and are known to contribute to adverse social and economic outcomes including a heavy financial burden on the country’s health sector and loss of productivity among the workforce due to absenteeism, premature death, or disability.
Experts in the health sector aver that several social and environmental factors have triggered an upsurge of mental health cases in Kenya, key among them, poverty. Most Kenyans, they argue, are living below the poverty line and poverty has tended to increase the risk of mental illness and since it acts both as a causal factor and a consequence of mental illness. Other factors are unemployment, job insecurity, and the high cost of living. Exposure to disasters is also associated with a plethora of adverse mental health consequences including Post Traumatic Stress Disorder, substance use disorder, and other psychological illnesses, they say.
The public service has not been spared of this epidemic as it has been hit hard by social economic factors leading to loss of productivity and low performance. Public servants are thus exposed to and suffer numerous mental health conditions and the consequences have been dire and detrimental at the place of work. This is evidenced by the counseling clinical records in the State Department of Public Service’s Psychological Counselling and Wellness Unit. The records show that public servants face mental health challenges just like other Kenyans.
Acknowledging the magnitude of the challenge, former President Uhuru Kenyatta directed the Ministry of Public Service, Gender and Affirmative Action, Ministry of Health, Ministry of Education, and Ministry of Labour and Social protection to team up and develop a strategy that would provide policy direction on mental health matters. The State Department of Public Service was given the responsibility of executing the planned activities. So far, the state department has trained 410 mental health champions across the public service. These champions are playing a critical role in strengthening the counseling services and also in supporting the mental health awareness campaign.
The PS said the state department was also digitizing public service mental health services, to leverage modern technological innovation to reduce time and cost and therefore enhance efficiency in service delivery.
Other interventions that the state department has put in place to mitigate the prevailing mental health challenges are; developing, reviewing, and implementing public service guidance and counselling, substance abuse, HIV and AIDs workplace policies; provision of psychological counselling services and psycho-education to public servants in Ministries Departments Agencies and Counties; and provision of Psychological First Aid (PFA) to persons in crisis and involved in disasters.
Cabinet Secretary, Hon. Aisha Jumwa presided over the commemoration of the International Day of Zero Tolerance for Female Genital Mutilation (FGM) in Ntimaru, Migori County on Monday, 6th February, 2023.
This year’s theme – partnering with men and boys to transform social and gender norms to end FGM – calls for action from men and boys to end FGM.
In her keynote address, Hon. Jumwa said that in consideration of the culture of FGM among practicing communities, there’s need to take deliberate steps to involve men and boys.
“Engaging men will create space to confront patriarchy – the root cause of gender inequality and negative masculinity. Targeting male children and youth is critical to build a future generation that will not subscribe to male dominance, but will promote partnership and mutual coexistence of men and women,” said Hon. Jumwa.
The Cabinet Secretary also appreciated the role of the elders of the Kuria in Migori, Pokot in West Pokot, Samburu in Samburu, Masai in Narok and Kajiado and the Sabaot in Bungoma for leading the way in the fight against FGM.
In Kenya, the recently released Demographic Health Survey indicates that FGM has reduced from 21% prevalence in 2014 to 15% in 2022 which the Cabinet Secretary noted is remarkable progress on the war against FGM in Kenya.
Present at the event were national and county officials.
