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In the not-too-distant future. America has been torn apart by a savage force known only as the 'Miasma'. Meet Elvis, a young man brought to the mining town of Sedentary as a baby. Left by his mother in the care of a robotic older 'brother' and given a mysterious glove with which he can control the Miasma.
Join the brothers on a quest across a post-apocalyptic wasteland to find the answers they crave. Answers which may change the course of human history forever.
From the creators of Mutant Year Zero: Road to Eden, comes a beautifully crafted tactical adventure you won't forget.
Pandas, an open-source data analysis and manipulation library for Python, is a tool of choice for many professionals in data science. Its advanced features and capabilities enable users to manipulate, analyze, and visualize data efficiently.
In the above video “Making $65 per Hour on Upwork with Pandas”, the highlighted strategy is centered on mastering this versatile tool and effectively communicating its benefits to potential clients. A key fact to remember is that Pandas is highly valued in various industries, including finance, retail, healthcare, and technology, where data is abundant and insights are critical.
For a freelancer, proficiency in Pandas can command an hourly rate of $65 or more, even if it’s just a side business to add an additional and independent income stream.
But it’s not just about the tool; it’s about showcasing your ability to drive business value.
Highlighting case studies where you’ve used Pandas to extract meaningful insights or solve complex business problems can significantly boost your profile’s appeal.
As for project bidding, understanding the client‘s requirements and tailoring your proposal to highlight how your Pandas expertise can meet those needs is vital. Negotiation, too, plays a critical role in securing a lucrative rate.
Mastering Pandas and marketing this skill effectively can unlock high-paying opportunities on platforms like Upwork, as demonstrated by the impressive $65 per hour rate (for a freelancer with very little practical experience). This reinforces the importance of specialized skills in enhancing your freelancing career.
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Welcome to Bricklandia, home of a massive open-world LEGO driving adventure. Race anywhere, play with anyone, build your dream rides, and defeat a cast of wild racing rivals for the coveted Sky Trophy!
In LEGO 2K Drive, your awesome transforming vehicle gives you the freedom to speed seamlessly across riveting racetracks, off-road terrain, and open waters. Explore the vast world of Bricklandia, show off your driving skills, and build vehicles brick-by-brick!
A unique blend of puzzle-solving and action-platforming. Play a lone Shiba Inu charged with commanding massive, marching crowds to the goal in Story Mode, or browse a wide array of user-made levels crafted via the in-game Stage Creator.
Use ./run.sh --help (Linux/macOS) or .\run.bat --help (Windows) to list command line arguments. For Docker, substitute docker-compose run --rm auto-gpt in examples.
Common Auto-GPT arguments include: --ai-settings <filename>, --prompt-settings <filename>, and --use-memory <memory-backend>. Short forms such as -m for --use-memory exist. Substitute any angled brackets (<>) with your desired values.
Enable Text-to-Speech using ./run.sh --speak.
Use continuous mode (potentially hazardous, may run indefinitely) with ./run.sh --continuous. Exit with Ctrl+C.
Use Self-Feedback mode (increases token usage, costs) by entering S in the input field.
Run GPT-3.5 only mode with ./run.sh --gpt3only or set SMART_LLM_MODEL in .env to gpt-3.5-turbo. For GPT-4 only, use ./run.sh --gpt4only (raises API costs).
Find logs in ./output/logs, debug with ./run.sh --debug.
Disable commands by setting DISABLED_COMMAND_CATEGORIES in .env. For instance, to disable coding features, use:
A planet that used to be a place of undisturbed balance between human, nature, and animal has now become something else entirely.
The disharmony that had been in the making for hundreds of years has finally arrived in the form of a faceless army. But this is not a story about war. This is a story about a vibrant, beautiful planet - and the journey to keep it that way.
Planet of Lana is a cinematic puzzle adventure framed by an epic sci-fi saga that stretches across centuries and galaxies.
Posted by: xSicKxBot - 05-22-2023, 08:46 AM - Forum: Python
- No Replies
Choose the Best Open-Source LLM with This Powerful Tool
5/5 – (1 vote)
Open-source LLMs have taken the world by storm in just a little over 2 months, ever since LLaMA’s weights were made available for anyone to tinker and play with. Just less than 2 weeks after the untrained LLaMA model was released by Meta.
A model’s weights are the values set to each parameter after training the model on a dataset, with the parameters being various factors (such as token size, number of layers) that allow the model to give more complex answers to what’s input by the user.
This led to a flurry of advancements from dedicated open-source community members. Through just the use of their personal hardware, they were able to make leaps and bounds in their quest to place the most powerful AI in the hands of everyday people.
OpenAI’s leadership seems to have taken quite a notice of these events, because they seem to be planning to release an open-source LLM, according to a report by Reuters. It’s virtually unanimous that OpenAI’s GPT-4 is the best-performing LLM model out there. So an open-source model from them would be no small event, even if it is weaker than GPT-4.
Finding out exactly how an OpenAI foundation model is built would give the open-source community a wealth of knowledge that they can apply to their other projects.
It would also go to show how seriously OpenAI views open source and the community surrounding it. It would show that they’re fully aware that the only chance for them to maintain their LLM dominance is if they allowed the world to improve and iterate on their designs.
Open-source showing such swift and definite progress toward taking the crown away from OpenAI can hardly be a surprise. The law of the wisdom of the crowd was foretelling of that. The insight and understanding of the relative few can never match the capability of the collective knowledge and experience of the tens of millions.
The Ultimate Open-Source LLM Battle – Who Wins?
In a chatbot arena site managed by LYMSYS, visitors are asked to enter a prompt, and two randomly-selected models will each provide a response.
The model that the user chooses as having given the best response is then raised up on the leaderboard while the other gets lowered.
The following models are the top three highest-performing models in that arena, just behind GPT-4 (ELO rating of 1274), Anthropic’s Claude (rating of 1224), and GPT-3.5-Turbo (rating of 1155).
Vicuna-13B
Trained by LYMSYS, an open research organization based in UC Berkeley, it is the most promising model from the LLaMA leak.
It reportedly achieves 90% response quality compared to ChatGPT and Google’s Bard, using a casual evaluation method done through GPT-4. They were able to accomplish this with just a training cost of $300. It has a rating of 1083.
Koala-13B
Coming from BAIR, another group within UC Berkeley, this is a dialogue model meant for academic research. It aims to answer the question of whether open-source models can overcome the massive scale advantage of closed models through better curation of training data. It comes in with a rating of 1022.
RWKV-4-Raven-14B
Impressively, this model was developed by a single person known by the username BlinkDL.
Even more impressively, it’s an RNN LLM (Recurrent Neural Network) rather than the ubiquitous Transformer LLM. The advent of Transformers is what led to the power of GPT-4 being achieved.
People like BlinkDL figuring out ways to optimize more archaic architectures could soon lead to a hybrid architecture that overtakes Transformers in both performance and speed. This model’s rating is a respectable 989.
Civilization-Defining Power Through Artificial General Intelligence
Open-source is a term that can bring out patronizing feelings in people because, after all, a lot of the best programs we know today are closed-source and are chosen by billions of people each year. But that is only due to there being no real reason for the wider community to develop superior open-source alternatives preferred by the wider public.
It’s a much different case with AI.
A few companies holding such immense and civilization-defining power for themselves is not a future that anyone who truly understands the capabilities of AI would want.
Artificial general intelligence is just around the corner, and with it, a complete reimagining of society as we know it. It is a tool that every single person should have equal access to. That reality would bring about a golden age that humanity has never before experienced in all its history.
No matter what anyone says, hoarding any AI knowledge for oneself is a complete disservice to the good of humanity.
Rather than being reserved for the privileged few, a world where AI can be developed and iterated upon by any and all is the only way any sort of utopia can be achieved. Through open-source AI, the dreams and optimism of some of our favorite sci-fi stories will finally be brought to life.
Recommended: 
, the highlighted strategy is centered on mastering this versatile tool and effectively communicating its benefits to potential clients. A key fact to remember is that Pandas is highly valued in various industries, including finance, retail, healthcare, and technology, where data is abundant and insights are critical.
Recommended: 
Recommended: 
Use continuous mode (potentially hazardous, may run indefinitely) with 
Use Self-Feedback mode (increases token usage, costs) by entering 
Recommended: 
