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DATE 2024-11-01

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MESSAGE
DATE 2024-11-27
FROM Touro Graduate School of Technology
SUBJECT Subject: [Hangout - NYLXS] Prompt Refinement: A Data Analyst's Secret Weapon
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Subject: [Hangout - NYLXS] Prompt Refinement: A Data Analyst's Secret Weapon
December 2nd
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Email from Touro Graduate School of Technology You don't want to miss this.=
Dear Friends of Touro University, We=E2=80=99re thrilled to invite you to =
an insightful workshop hosted by the Touro Graduate School of Technology! T=
his session, =E2=80=9CPrompt Refinement: A Data Analyst=E2=80=99s Secret We=
apon,=E2=80=9D will delve into cutting-edge techniques in prompt optimizati=
on and reveal how these skills can elevate your data analysis workflows=E2=
=80=94all from the comfort of your own space! Whether you=E2=80=99re a data=
analyst, a student, or simply curious about harnessing Gen AI in your work=
flow, this workshop will provide valuable tools and insights. Don=E2=80=99t=
miss out on this opportunity to level up your data analysis skills! Worksh=
op Highlights: Prompt Optimization Techniques =E2=80=93 Master ways to craf=
t effective prompts that yield precise results in data analytics. Gen AI in=
Data Preparation =E2=80=93 Discover how advanced data cleaning and feature=
engineering can be achieved using Generative AI tools. Inside the LLM Blac=
k Box =E2=80=93 Gain insight into how Large Language Models (LLMs) learn th=
rough one-shot, zero-shot, and few-shot learning techniques. Structured Pro=
mpt Frameworks =E2=80=93 Learn practical frameworks like RACE (Reflect, App=
ly, Conclude, Evaluate) and PARE (Plan, Act, Review, Enhance) to structure =
and refine your prompts for consistent success. Workshop Details: =EF=BB=
=BFDate: Monday, December 2nd, 2024 Time: 7:00 p.m. We will send you the zo=
om link for the workshop after you RSVP for the event. About the Presenter:=
Sarwat Zabeen is a Data Scientist and researcher with a strong focus on AI=
safety, specializing in Reinforcement Learning from Human Feedback (RLHF).=
Currently pursuing a PhD in Data Science at Harrisburg University of Scien=
ce and Technology, Sarwat=E2=80=99s research addresses the critical gap in =
ensuring that RLHF can be implemented safely without compromising the helpf=
ulness of AI models. With a background in machine learning, data analysis, =
and model optimization, Sarwat is dedicated to advancing the field of AI by=
developing innovative approaches that balance safety and functionality in =
AI systems. Passionate about fostering collaboration and driving impactful =
research, Sarwat is committed to bridging theoretical and practical aspects=
of AI development Whether you're curious about prompt refinement or lookin=
g to integrate it into your daily routine, this workshop is the perfect pla=
ce to get started. We look forward to seeing you there! If you have any que=
stions, feel free to reach out. Best regards, Graduate School of Technolo=
gy RSVP Touro Graduate School of Technology | 3 Times Square Room 430 | New=
York, NY 10036 US Unsubscribe | Update Profile | Constant Contact Data Not=
ice
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Email from Touro Graduate School of Tec=<BR>hnology rset=3Dutf-8"> tial-scale=3D1, maximum-scale=3D1">
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;">Dear Friends of Touro University,




;">We’re thrilled to invite you to an insightful workshop hosted by =
the Touro Graduate School of Technology! This session, “Prompt Refin=
ement: A Data Analyst’s Secret Weapon,” will delve into cutti=
ng-edge techniques in prompt optimization and reveal how these skills can e=
levate your data analysis workflows
olor: rgb(0, 0, 0); font-weight: bold;">—all from the comfort of you=
r own space!




;">Whether you’re a data analyst, a student, or simply curious about=
harnessing Gen AI in your workflow, this workshop will provide valuable to=
ols and insights. Don’t miss out on this opportunity to level up you=
r data analysis skills!


; font-weight: bold;">Workshop Highlights:



  • e: 16px; color: rgb(0, 0, 0);">Prompt Optimization Techniques –=
    Master ways to craft effective prompts that yield precise results in data =
    analytics.

  • e: 16px; color: rgb(0, 0, 0);">Gen AI in Data Preparation – Dis=
    cover how advanced data cleaning and feature engineering can be achieved us=
    ing Generative AI tools.

  • e: 16px; color: rgb(0, 0, 0);">Inside the LLM Black Box – Gain =
    insight into how Large Language Models (LLMs) learn through one-shot, zero-=
    shot, and few-shot learning techniques.

  • e: 16px; color: rgb(0, 0, 0);">Structured Prompt Frameworks – L=
    earn practical frameworks like RACE (Reflect, Apply, Conclude, Evaluate) an=
    d PARE (Plan, Act, Review, Enhance) to structure and refine your prompts fo=
    r consistent success.




; font-weight: bold;">Workshop Details:  


; font-weight: bold;"> rgb(0, 0, 0);">Date: Monday, December 2nd, 2024


Time: 7:00 p.m=
.




ld;">We will send you the zoom link for the workshop after you RSVP for the=
event.




; font-weight: bold;">About the Presenter:




;">Sarwat Zabeen is a Data Scientist and researcher with a strong focus on =
AI safety, specializing in Reinforcement Learning from Human Feedback (RLHF=
). Currently pursuing a PhD in Data Science at Harrisburg University of Sci=
ence and Technology, Sarwat’s research addresses the critical gap in=
ensuring that RLHF can be implemented safely without compromising the help=
fulness of AI models. With a background in machine learning, data analysis,=
and model optimization, Sarwat is dedicated to advancing the field of AI b=
y developing innovative approaches that balance safety and functionality in=
AI systems. Passionate about fostering collaboration and driving impactful=
research, Sarwat is committed to bridging theoretical and practical aspect=
s of AI development




Whether you're cur=
ious about prompt refinement or looking to integrate it into your daily rou=
tine, this workshop is the perfect place to get started.




We look forward to=
seeing you there! If you have any questions, feel free to reach out.>




Best regards, =


Graduate School of=
Technology


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>Touro Graduate School of Technology | 3 Times Squarepan> Room 430 | New York, NY 10036 US

tical" width=3D"100%" border=3D"0" cellpadding=3D"0" cellspacing=3D"0"> >


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_______________________________________________
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Email from Touro Graduate School of Technology You don't want to miss this.=
Dear Friends of Touro University, We=E2=80=99re thrilled to invite you to =
an insightful workshop hosted by the Touro Graduate School of Technology! T=
his session, =E2=80=9CPrompt Refinement: A Data Analyst=E2=80=99s Secret We=
apon,=E2=80=9D will delve into cutting-edge techniques in prompt optimizati=
on and reveal how these skills can elevate your data analysis workflows=E2=
=80=94all from the comfort of your own space! Whether you=E2=80=99re a data=
analyst, a student, or simply curious about harnessing Gen AI in your work=
flow, this workshop will provide valuable tools and insights. Don=E2=80=99t=
miss out on this opportunity to level up your data analysis skills! Worksh=
op Highlights: Prompt Optimization Techniques =E2=80=93 Master ways to craf=
t effective prompts that yield precise results in data analytics. Gen AI in=
Data Preparation =E2=80=93 Discover how advanced data cleaning and feature=
engineering can be achieved using Generative AI tools. Inside the LLM Blac=
k Box =E2=80=93 Gain insight into how Large Language Models (LLMs) learn th=
rough one-shot, zero-shot, and few-shot learning techniques. Structured Pro=
mpt Frameworks =E2=80=93 Learn practical frameworks like RACE (Reflect, App=
ly, Conclude, Evaluate) and PARE (Plan, Act, Review, Enhance) to structure =
and refine your prompts for consistent success. Workshop Details: =EF=BB=
=BFDate: Monday, December 2nd, 2024 Time: 7:00 p.m. We will send you the zo=
om link for the workshop after you RSVP for the event. About the Presenter:=
Sarwat Zabeen is a Data Scientist and researcher with a strong focus on AI=
safety, specializing in Reinforcement Learning from Human Feedback (RLHF).=
Currently pursuing a PhD in Data Science at Harrisburg University of Scien=
ce and Technology, Sarwat=E2=80=99s research addresses the critical gap in =
ensuring that RLHF can be implemented safely without compromising the helpf=
ulness of AI models. With a background in machine learning, data analysis, =
and model optimization, Sarwat is dedicated to advancing the field of AI by=
developing innovative approaches that balance safety and functionality in =
AI systems. Passionate about fostering collaboration and driving impactful =
research, Sarwat is committed to bridging theoretical and practical aspects=
of AI development Whether you're curious about prompt refinement or lookin=
g to integrate it into your daily routine, this workshop is the perfect pla=
ce to get started. We look forward to seeing you there! If you have any que=
stions, feel free to reach out. Best regards, Graduate School of Technolo=
gy RSVP Touro Graduate School of Technology | 3 Times Square Room 430 | New=
York, NY 10036 US Unsubscribe | Update Profile | Constant Contact Data Not=
ice
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;">Dear Friends of Touro University,




;">We’re thrilled to invite you to an insightful workshop hosted by =
the Touro Graduate School of Technology! This session, “Prompt Refin=
ement: A Data Analyst’s Secret Weapon,” will delve into cutti=
ng-edge techniques in prompt optimization and reveal how these skills can e=
levate your data analysis workflows
olor: rgb(0, 0, 0); font-weight: bold;">—all from the comfort of you=
r own space!




;">Whether you’re a data analyst, a student, or simply curious about=
harnessing Gen AI in your workflow, this workshop will provide valuable to=
ols and insights. Don’t miss out on this opportunity to level up you=
r data analysis skills!


; font-weight: bold;">Workshop Highlights:



  • e: 16px; color: rgb(0, 0, 0);">Prompt Optimization Techniques –=
    Master ways to craft effective prompts that yield precise results in data =
    analytics.

  • e: 16px; color: rgb(0, 0, 0);">Gen AI in Data Preparation – Dis=
    cover how advanced data cleaning and feature engineering can be achieved us=
    ing Generative AI tools.

  • e: 16px; color: rgb(0, 0, 0);">Inside the LLM Black Box – Gain =
    insight into how Large Language Models (LLMs) learn through one-shot, zero-=
    shot, and few-shot learning techniques.

  • e: 16px; color: rgb(0, 0, 0);">Structured Prompt Frameworks – L=
    earn practical frameworks like RACE (Reflect, Apply, Conclude, Evaluate) an=
    d PARE (Plan, Act, Review, Enhance) to structure and refine your prompts fo=
    r consistent success.




; font-weight: bold;">Workshop Details:  


; font-weight: bold;"> rgb(0, 0, 0);">Date: Monday, December 2nd, 2024


Time: 7:00 p.m=
.




ld;">We will send you the zoom link for the workshop after you RSVP for the=
event.




; font-weight: bold;">About the Presenter:




;">Sarwat Zabeen is a Data Scientist and researcher with a strong focus on =
AI safety, specializing in Reinforcement Learning from Human Feedback (RLHF=
). Currently pursuing a PhD in Data Science at Harrisburg University of Sci=
ence and Technology, Sarwat’s research addresses the critical gap in=
ensuring that RLHF can be implemented safely without compromising the help=
fulness of AI models. With a background in machine learning, data analysis,=
and model optimization, Sarwat is dedicated to advancing the field of AI b=
y developing innovative approaches that balance safety and functionality in=
AI systems. Passionate about fostering collaboration and driving impactful=
research, Sarwat is committed to bridging theoretical and practical aspect=
s of AI development




Whether you're cur=
ious about prompt refinement or looking to integrate it into your daily rou=
tine, this workshop is the perfect place to get started.




We look forward to=
seeing you there! If you have any questions, feel free to reach out.>




Best regards, =


Graduate School of=
Technology


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>Touro Graduate School of Technology | 3 Times Squarepan> Room 430 | New York, NY 10036 US

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