Here is the analysis for the Amazon product reviews: Fakespot detects fake reviews, fake products and unreliable sellers using AI. The immersive voice activity certainly had the team deeply listening, becoming vulnerable, and even adopting new possibilities for their speaking voices.This is a Fakespot Reviews Analysis bot. We covered vocal bias, emotional intelligence for speakers, the sound of compassion, non-judgement, and care, voice/brand alignment, and building a vocal repertoire. It was such a human-centered, spiritual, and practical workshop That’s why I was honored to be invited by Gina V., CEO of Caris Pregnancy Counseling and Resources to facilitate a VOICE workshop for the executive team. ![]() You are extending God’s creative power & grace in critical situations When you are on the frontlines using your speaking voice to help those in Life or Death situations #riseup #riseupglobal #riseupconference #humanleadership #showup#motivation #talentdevelopment #leadership + It will be a privilege to be followed by you. Have fun watching I hope it will inspire you with many ideas as it did for the audience that day. + I called it, "Being At Your Psychological Best".ĥ️⃣. This video is an exclusive 2-minute highlight of my recent keynote at our 2nd Annual RISEUP Conference 2023 Great work by the Abacus team.Ĭlosing the Gap to Closed Source LLMs - 70B Giraffe 32k - The Abacus.AI Blog There is a lot to explore with these long-context models. I also wonder how these models could help with key capabilities like information extraction, large-form doc analysis, and reasoning. Note that there is still a gap in performance to the best closed source models like GPT-4 but it's coming closer. I got excited with the earlier release of Giraffe because of the potential of these long context models to unlock unique applications.Įven more exciting to see that the 70B Giraffe model shows the best performance of all the open-source models in key categories like extraction, coding, and math. the 18% accuracy of 13B on the AltQA dataset. The 70B model improves significantly at the longest context windows (32k) for the document QA task vs. The Abacus.AI conducted an evaluation of the model assessing performance over long contexts. Introducing Giraffe 70B, an open-source LLM fine-tuned from base Llama 2 with context length extended to 32K. #machinelearning #datascience #artificialintelligenceĪnother huge release on the long-context LLMs front: □ Get a Free Machine Learning PDF (100+ pages) with 50+ tips by subscribing to my newsletter today: ![]() Iterate over all chapters and events, et Voila, you have a book! I give it access to the whole plot, the events it already has written about, and the previous paragraphs. For each chapter, I asked to generate a list of events that need to happen to fulfill that chapter's plot.įor each event, I then asked ChatGPT to generate a few paragraphs describing that event. ![]() I tried to keep it focused by always providing it with the plot and the summary of the previous chapters generated. I then asked it to establish the list of chapters and generate the plot for each chapter. From that, I asked it to generate a Title and then, using the Title, a plot. ![]() I chose the subject to be "Robot War", the genre to be "horror", and the author to be "Ernest Hemingway". The only information I gave was the main character's profile, a subject, a genre, and an author's style. So, I downloaded my resume in PDF format from my LinkedIn profile and asked to summarize it. I wanted to give some information about myself to ChatGPT. I use Langchain to automate the whole process. This book was entirely written by ChatGPT!
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